News

Kelsey Doerksen featured in Vice-Chancellor's International Women's Day Event

Kelsey Doerksen featured in Vice-Chancellor's International Women's Day Event

06 Mar 2024

DPhil student Kelsey Doerksen will be a speaker at the Vice-Chancellor’s 2024 International Women’s Day Event, a discussion featuring panellists from across the University working in AI, who will share their views on making AI a force for gender equality and inclusion.

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Lisa Schut gives talk at the Stanford HAI Fall Conference

Lisa Schut gives talk at the Stanford HAI Fall Conference

24 Oct 2023

Together with Been Kim, Lisa Schut gave a talk at the Stanford HAI Fall Conference on New Horizons in Generative AI: Science, Creativity, and Society on ‘Leveraging AlphaZero to Improve our Understanding & Creativity in Chess’.

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Yarin Gal Appointed Director of Research at Frontier AI Taskforce

Yarin Gal Appointed Director of Research at Frontier AI Taskforce

20 Sep 2023

Yarin Gal has been appointed as the Director of Research at the new government Frontier AI Taskforce. As the Taskforce’s first progress report explains, Yarin’s appointment reflects his status as ‘a globally recognised leader in Machine Learning’.

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OATML Student in TIME Magazine

OATML Student in TIME Magazine

15 Aug 2023

DPhil student Jan Brauner has published an op-ed in TIME Magazine. He discusses the similarities between extinction risk from AI and present-day harms from AI.

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OATML to co-organize the Workshop on Computational Biology (WCB) at ICML 2023

OATML to co-organize the Workshop on Computational Biology (WCB) at ICML 2023

30 Mar 2023

OATML students Pascal Notin and Ruben Wietzman are co-organizing the Workshop on Computational Biology (WCB) at ICML 2023 jointly with collaborators at Harvard, Columbia, Cornell and others. OATML students Freddie Bickford Smith, Jan Brauner and Shreshth Malik are part of the program committee.

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DAGGER featured in NASA website

DAGGER featured in NASA website

30 Mar 2023

DPhil student Panagiotis Tigas and his collaborators from Frontiers Development Lab published their work on predicting geomagnetic pertubations using deep learning (DAGGER) in the Space Weather journal. The work has been featured in NASA’s main website

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Freddie Kalaitzis publishes in Nature Astronomy

Freddie Kalaitzis publishes in Nature Astronomy

06 Mar 2023

Senior Research Fellow Freddie Kalaitzis, in collaboration with a team from NASA Ames Research and the SETI institute, published a study in Nature Astronomy on a new deep-learning based framework to accelerate the search for life on Mars and other extra-terrestial environments. Freddie was the key AI contributor in this study. You can read the paper here.

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OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2023

OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2023

21 Dec 2022

OATML students Pascal Notin and Clare Lyle, along with OATML group leader Yarin Gal, are co-organizing the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2023 jointly with collaborators at GSK, Genentech, Harvard, MIT and others. OATML students Neil Band, Freddie Bickford Smith, Jan Brauner, Lars Holdijk, Andrew Jesson, Andreas Kirsch, Shreshth Malik, Lood van Niekirk and Ruben Wietzman are part of the program committee.

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OATML student receives top reviewer award at NeurIPS 2022

OATML student receives top reviewer award at NeurIPS 2022

20 Nov 2022

OATML graduate student Muhammed Razzak received a top reviewer award given to the top 8% of reviewers at NeurIPS 2022.

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Kelsey Doerksen to speak at the CASI ASTRO AI in Space panel in Montreal

Kelsey Doerksen to speak at the CASI ASTRO AI in Space panel in Montreal

02 Nov 2022

OATML PhD Student Kelsey Doerksen will join the Artificial Intelligence in Space: Benefits and Challenges panel at the Canadian Aeronautics and Space Institute ASTRO Conference.

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Gunshi Gupta is announced as Equality, Diversity and Inclusion Fellow

Gunshi Gupta is announced as Equality, Diversity and Inclusion Fellow

22 Sep 2022

OATML PhD Student Gunshi Gupta has been announced as one of the new Equality, Diversity and Inclusion fellows for the Mathematical, Physical & Life Sciences Division. Congratualtions to her, and all of the Fellows, who will help promote an inclusive and supportive culture for all.

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Sören Mindermann, Muhammed Razzak, and Jan Brauner speak at Meta AI Research

Sören Mindermann, Muhammed Razzak, and Jan Brauner speak at Meta AI Research

21 Sep 2022

OATML PhD Students Sören Mindermann, Muhammed Razzak, and Jan Brauner delivered a talk to Meta AI Research on their work on prioritised training.

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Freddie Kalaitzis publishes white paper on the State of AI for Earth Observations

Freddie Kalaitzis publishes white paper on the State of AI for Earth Observations

02 Sep 2022

OATML Senior Researcher Freddie Kalaitzis, along with Cristian Rossi and Maral Bayaraa, have published a white paper on the State of AI for Earth Observations: an intro to sensors, ML and applications. Read their work here.

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Tim G. J. Rudner to join NYU faculty

Tim G. J. Rudner to join NYU faculty

26 Aug 2022

Tim G. J. Rudner will join New York University as an Assistant Professor and Faculty Fellow at the Center for Data Science this fall.

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OATML Senior Researcher releases of WorldStrat dataset, in collaboration with WhyHow Ltd. and ESA Phi-Lab

OATML Senior Researcher releases of WorldStrat dataset, in collaboration with WhyHow Ltd. and ESA Phi-Lab

20 Jul 2022

OATML Senior Researcher Freddie Kalaitzis, in collaboration with WhyHow Ltd. and ESA Phi-lab, has released the WorldStrat dataset: the largest dataset of open high resolution satellite imagery with a CC-NC license, stratified by global land-uses, with an application to Multi-Frame Super-Resolution. Find the paper and code. Congratulations to the whole team involved!

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Kelsey Doerksen to present at the International Astronautical Congress AI4Space Plenary

Kelsey Doerksen to present at the International Astronautical Congress AI4Space Plenary

12 Jul 2022

OATML DPhil student Kelsey Doerksen will join the AI4SPACE: Perspective From the Next Generation panel at the International Astronautical Congress on September 19th, 2022, highlighting her research in Machine Learning for Space applications.

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OATML members win Oxford Divisional Impact Award

OATML members win Oxford Divisional Impact Award

11 Jul 2022

Prof. Gal, Jan Brauner, Sören Mindermann and Mrinank Sharma have won the MPLS Social Impact Award for their work on evaluating the effectiveness of Covid-19 internentions. Congratulations to all those awarded!

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Pascal Notin to present at the ELLIS unit in Copenhagen

Pascal Notin to present at the ELLIS unit in Copenhagen

17 Jun 2022

OATML DPhil student Pascal Notin will give a talk at the Center for Basic Machine Learning Research in Life Science (MLLS), ELLIS Unit in Copenhagen, on generative models for protein fitness and mutation effects prediction.

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Jan Brauner presents to the German Academic Scholarship Foundation

Jan Brauner presents to the German Academic Scholarship Foundation

17 Jun 2022

OATML PhD student Jan Brauner was a guest speaker at an event of the German Academic Scholarship Foundation (10th - 12th June 2022). He gave several talks and workshops on risks from advanced AI systems.

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OATML Senior Research Fellow to lead €1M ESA project

OATML Senior Research Fellow to lead €1M ESA project

11 May 2022

Freddie Kalaitzis will lead a €1M European Space Agency project to make Super Resolution technology for earth observations safer, more accountable, and open to everyone. Congratulations to the team!

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OATML to co-organize the Workshop on Computational Biology at ICML 2022

OATML to co-organize the Workshop on Computational Biology at ICML 2022

04 May 2022

OATML student Pascal Notin is co-organizing the 7th edition of the Workshop on Computational Biology (WCB) at ICML 2022 jointly with collaborators at Harvard, Columbia, Cornell and others. OATML students Neil Band, Freddie Bickford Smith, Jan Brauner, Andreas Kirsch and Lood van Niekirk are part of the PC.

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OATML graduate students recognized as highlighted reviewers at ICLR 2022

OATML graduate students recognized as highlighted reviewers at ICLR 2022

25 Apr 2022

OATML graduate students Lars Holdijk, Jannik Kossen, Clare Lyle, and Sören Mindermann are recognized as Highlighted Reviewers for their reviewing at ICLR 2022.

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Panagiotis Tigas to present at Wellcome Centre of Human Neuroimaging, UCL

Panagiotis Tigas to present at Wellcome Centre of Human Neuroimaging, UCL

15 Mar 2022

OATML DPhil student Panagiotis Tigkas will give an invited talk at Wellcome Centre of Human Neuroimaging, UCL on Bayesian Optimal Experimental Design for Causal Discovery.

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Panagiotis Tigas to present at Machine Learning for Heliophysics conference

Panagiotis Tigas to present at Machine Learning for Heliophysics conference

14 Mar 2022

OATML DPhil student Panagiotis Tigkas will give a talk at Machine Learning for Heliophysics conference on global geomagnetic perturbation forecasting using deep learning.

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OATML graduate student receives top reviewer award

OATML graduate student receives top reviewer award

11 Feb 2022

OATML graduate student Jannik Kossen receives a top reviewer award (top 10%) at AISTATS 2022.

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OATML to co-organize GeneDisco Challenge

OATML to co-organize GeneDisco Challenge

31 Jan 2022

OATML and GSK are co-organizing the GeneDisco Challenge at ICLR 2022. You can find out more about the challenge here, and read the GeneDisco paper here.

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Kelsey Doerksen to speak at Carleton University Student Leadership Conference

Kelsey Doerksen to speak at Carleton University Student Leadership Conference

19 Jan 2022

OATML DPhil student Kelsey Doerksen will give an invited talk as an expert speaker at Carleton University’s SOAR Student Leadership Conference.

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OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2022

OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2022

15 Jan 2022

OATML students Pascal Notin, Andrew Jesson and Clare Lyle, along with OATML group leader Professor Yarin Gal, are co-organizing the first Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2022 jointly with collaborators at GSK, Harvard, MILA, MIT and others. OATML students Neil Band, Freddie Bickford Smith, Jan Brauner, Lars Holdijk, Andreas Kirsch, Jannik Kossen and Muhammed Razzak are part of the PC.

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Yarin Gal one of five Samsung AI Researchers of the Year

Yarin Gal one of five Samsung AI Researchers of the Year

06 Nov 2021

Professor Yarin Gal has been announced as one of five ‘Samsung AI Researcher of the Year’ award winners. The awards were launched last year to discover rising AI researchers globally.

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OATML researchers publish paper in Nature

OATML researchers publish paper in Nature

03 Nov 2021

The paper “Disease variant prediction with deep generative models of evolutionary data” was published in Nature. The work is a collaboration between OATML and the Marks lab at Harvard Medical School. It was led by Pascal Notin and Professor Yarin Gal from OATML together with Jonathan Frazer, Mafalda Dias, and Debbie Marks from the Marks lab. OATML DPhil student Aidan Gomez and Marks lab researchers Joseph Min and Kelly Brock are co-authors on the paper.

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Andreas Kirsch and Sebastian Farquhar receive reviewer award at NeurIPS 2021

Andreas Kirsch and Sebastian Farquhar receive reviewer award at NeurIPS 2021

28 Oct 2021

OATML graduate students Andreas Kirsch and Sebastian Farquhar received a reviewer award given to the top 8% of reviewers at NeurIPS 2021.

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Kelsey Doerksen to be the manager of the 19th Space Generation Congress

Kelsey Doerksen to be the manager of the 19th Space Generation Congress

23 Oct 2021

OATML DPhil student Kelsey Doerksen will be the manager of the 19th Space Generation Congress (SGC) hosted in Dubai, UAE in conjunction with the International Astronautical Congress.

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NeurIPS 2021

NeurIPS 2021

11 Oct 2021

Thirteen papers with OATML members accepted to NeurIPS 2021 main conference. More information in our blog post.

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Jan Brauner to speak at the OECD Global Science Forum

Jan Brauner to speak at the OECD Global Science Forum

24 Sep 2021

Jan Brauner will speak at the OECD Global Science Forum workshop on “Priority setting and coordination of research agendas: lessons learned from COVID 19”. The workshop will take place on October 4th and 5th, further information and a registration link can be found here.

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OATML researchers advise UK Cabinet Office

OATML researchers advise UK Cabinet Office

24 Sep 2021

Jan Brauner and Sören Mindermann have presented their work with Professor Yarin Gal and other collaborators on the effectiveness of mask-wearing at reducing COVID-19 transmission to the UK Cabinet Office and advised the office on mask-wearing policies.

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Sebastian Farquhar elected Junior Research Fellow at Christ Church, Oxford

Sebastian Farquhar elected Junior Research Fellow at Christ Church, Oxford

13 Sep 2021

Sebastian Farquhar has been elected a Junior Research Fellow in Computer Science at Christ Church, University of Oxford.

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OATML graduate students receive best reviewer awards and serve as expert reviewers at ICML 2021

OATML graduate students receive best reviewer awards and serve as expert reviewers at ICML 2021

06 Sep 2021

OATML graduate students Sebastian Farquhar and Jannik Kossen receive best reviewer awards (top 10%) at ICML 2021. Further, OATML graduate students Tim G. J. Rudner, Pascal Notin, Panagiotis Tigas, and Binxin Ru have served the conference as expert reviewers.

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NeurIPS 2021 Workshop and Challenges

NeurIPS 2021 Workshop and Challenges

30 Aug 2021

We’re co-organising the Bayesian Deep Learning Workshop at NeurIPS 2021 as well as two challenges: Approximate Inference in Bayesian Deep Learning and Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift. This effort is led by Professor Yarin Gal, Neil Band, Sebastian Farquhar, and collaborators.

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OATML researchers to present at Stanford University Lecture Course CS25: Transformers United

OATML researchers to present at Stanford University Lecture Course CS25: Transformers United

22 Aug 2021

OATML graduate students Aidan Gomez, Jannik Kossen, and Neil Band will be presenting their recent paper Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning that introduces Non-Parametric Transformers at the Stanford Lecture Course ‘CS25: Transformers United’ on November 1, 2021. Professor Yarin Gal, Dr. Tom Rainforth, and OATML DPhil student Clare Lyle are co-authors on the paper.

The lecture is available online here.

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OATML researchers to speak at Google Research

OATML researchers to speak at Google Research

22 Aug 2021

OATML students Jannik Kossen and Neil Band will be presenting their recent paper Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning at Google Research on September 14, 2021. Professor Yarin Gal, Dr. Tom Rainforth, and OATML DPhil students Clare Lyle and Aidan Gomez are co-authors on the paper.

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OATML student receives a best poster award at the ICML workshop on Computational Biology

OATML student receives a best poster award at the ICML workshop on Computational Biology

07 Aug 2021

OATML MSc student Lood van Niekerk received a best poster award at the 2021 ICML Workshop on Computational Biology for his work on “Exploring the latent space of deep generative models: Applications to G-protein coupled receptors”. This is part of an ongoing collaboration between OATML and the Marks Lab. From OATML, Professor Yarin Gal and DPhil student Pascal Notin are co-authors on the paper.

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OATML researcher presents at AI Campus Berlin

OATML researcher presents at AI Campus Berlin

06 Aug 2021

OATML DPhil student Jannik Kossen gives invited talks at AI Campus Berlin on two recent papers: Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning and Active Testing: Sample-Efficient Model Evaluation. Recordings of are available upon request. Announcements are here and here. Professor Yarin Gal, Dr. Tom Rainforth, and OATML graduate students Sebastian Farquhar, Neil Band, Clare Lyle, and Aidan Gomez are co-authors on the papers.

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OATML researchers give talk at CERN on Uncertainty in ML

OATML researchers give talk at CERN on Uncertainty in ML

29 Jul 2021

OATML graduate student Lewis Smith and Professor Yarin Gal gave a talk on uncertainty in ML, discussing their collaboration with Adi Hanuka on uncertainty quantification for virtual diagnostics in the SLAC accelerator.

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OATML research featured by NASA

OATML research featured by NASA

24 Jul 2021

OATML research project has been covered by NASA, and featured on NASA’s home page. This research, published in Astronomy & Astrophysics, focuses on improving data for solar research. This was part of a collaboration between OATML and the Frontier Development Lab

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ICML 2021

ICML 2021

17 Jul 2021

Seven papers with OATML members accepted to ICML 2021, together with 14 workshop papers. More information in our blog post.

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OATML researchers to speak at Cohere

OATML researchers to speak at Cohere

09 Jul 2021

OATML students Jannik Kossen and Neil Band present their recent paper Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning at Cohere on July 9, 2021. Professor Yarin Gal, Dr. Tom Rainforth, and OATML DPhil students Clare Lyle and Aidan Gomez are also co-authors on the paper.

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Artificial Intelligence to detect floods is launched into space

Artificial Intelligence to detect floods is launched into space

29 Jun 2021

OATML PhD Student Lewis Smith, along with Yarin Gal and Atılım Güneş Baydin, are part of the team invlved in developing an ML model to detect flood events, which has now been deployed in space. This is a project done in collaboration with the European Space Agency, Trillium Technologies and leaders in commercial AI, such as Google Cloud and Intel. You can read more about their work here

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OATML graduate students receive Outstanding Reviewer Awards

OATML graduate students receive Outstanding Reviewer Awards

03 Jun 2021

OATML graduate students Pascal Notin and Tim G. J. Rudner received best reviewer awards (top 5%) at UAI 2021.

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Angelos Filos awarded 2021 J.P. Morgan PhD Fellowship

Angelos Filos awarded 2021 J.P. Morgan PhD Fellowship

01 Jun 2021

Angelos Filos is one of the recipients of the 2021 J.P. Morgan PhD Fellowship. Congratulations to the winners!

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Tim G. J. Rudner awarded Qualcomm Innovation Fellowship

Tim G. J. Rudner awarded Qualcomm Innovation Fellowship

19 May 2021

Tim G. J. Rudner is one of 4 PhD students awarded the 2021 Qualcomm Innovation Fellowship Europe. Congratulations to the winners!

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OATML researchers publish paper in Nature Scientific Reports

OATML researchers publish paper in Nature Scientific Reports

31 Mar 2021

OATML graduate student Lewis Smith’s work together with Professor Yarin Gal, as part of FDL 2019, was published as a full length paper in Nature Scientific Reports. This work was a collaboration between the four members of his team, and academics from several universities.

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OATML student invited to speak at the Cornell ML in Medicine seminar series

OATML student invited to speak at the Cornell ML in Medicine seminar series

19 Mar 2021

OATML graduate student Pascal Notin will give an invited talk on Uncertainty in deep generative models with applications to genomics and drug design at the Cornell Machine Learning in Medicine seminar series. Professor Yarin Gal and collaborator José Miguel Hernández-Lobato are co-authors on the paper.

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Tim G. J. Rudner releases paper series on AI safety

Tim G. J. Rudner releases paper series on AI safety

17 Mar 2021

OATML graduate student Tim G. J. Rudner wrote a paper series on AI safety for non-experts (An Overview, Robustness, Interpretability).

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OATML student invited to speak at the EMBL workshop on ML in Drug Discovery

OATML student invited to speak at the EMBL workshop on ML in Drug Discovery

11 Mar 2021

OATML graduate student Pascal Notin will give an invited talk on “Large-scale clinical interpretation of genetic variants using evolutionary data and deep generative models” at the EMBL-EBI workshop on Machine Learning in Drug Discovery. The work is a collaboration between OATML (Pascal and Professor Yarin Gal) and the Marks Lab at Harvard.

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OATML student invited to speak at UCL AI Centre Seminar Series

OATML student invited to speak at UCL AI Centre Seminar Series

10 Feb 2021

OATML graduate student Seb Farquhar will speak on approximate Bayes in large neural networks drawing on Liberty or Depth (NeurIPS 2020) and Radial BNNs (AI Stats 2020) at the UCL Centre for Artificial Intelligence Seminar Series. Professor Yarin Gal, OATML graduate student Lewis Smith and collaborator Mike Osborne are co-authors on the papers.

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OATML researcher to speak at Max Planck Institute & UCLA

OATML researcher to speak at Max Planck Institute & UCLA

17 Dec 2020

OATML graduate student Tim G. J. Rudner will give an invited talk on Outcome-Driven Reinforcement Learning via Variational Inference at the MPI+UCLA Mathematical Machine Learning Seminar. Professor Yarin Gal and collaborator Sergey Levine are also co-authors on the paper.

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Tim G. J. Rudner to speak at Center for Security & Emerging Technology

Tim G. J. Rudner to speak at Center for Security & Emerging Technology

16 Dec 2020

OATML graduate student Tim G. J. Rudner will give an invited talk on “A Non-technical Guide to Modern Machine Learning” at the Georgetown University’s Center for Security & Emerging Technology.

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Tim G. J. Rudner to give guest lecture at UCL

Tim G. J. Rudner to give guest lecture at UCL

16 Dec 2020

OATML graduate student Tim G. J. Rudner will give an invited guest lecture on Bayesian Deep Learning at University College London.

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OATML researchers publish paper in Science

OATML researchers publish paper in Science

15 Dec 2020

The paper called “Inferring the effectiveness of government interventions against COVID-19” was published in Science today. The work is a collaboration with researchers from 9 universities, led by OATML graduate students Sören Mindermann and Jan Brauner, together with Mrinank Sharma from the Department of Statistics.

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Oxford-Google Workshop on Reliable Machine Learning

Oxford-Google Workshop on Reliable Machine Learning

24 Nov 2020

OATML hosted a joint workshop with Google Research on reliable machine learning with a series of talks and breakout sessions. The event was organized by OATML graduate student Tim G. J. Rudner and Mario Lučić at Google.

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Freddie Kalaitzis to give a spotlight talk at the AI for Earth Sciences workshop at NeurIPS 2020

Freddie Kalaitzis to give a spotlight talk at the AI for Earth Sciences workshop at NeurIPS 2020

05 Nov 2020

OATML Senior Research Fellow Freddie Kalaitzis will be giving a Spotlight Talk on Dynamic Hydrology Maps from Satellite-LiDAR Fusion at the AI for Earth Sciences workshop at NeurIPS 2020.

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Tim G. J. Rudner receives Outstanding Reviewer Award

Tim G. J. Rudner receives Outstanding Reviewer Award

01 Nov 2020

OATML graduate student Tim G. J. Rudner received a best reviewer award (top 10%) at NeurIPS 2020.

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OATML researchers invited to speak at the German Centre for Infection Research

OATML researchers invited to speak at the German Centre for Infection Research

26 Oct 2020

OATML graduate students Sören Mindermann and Jan Brauner, together with Mrinank Sharma from the Department of Statistics, were invited to give a talk about their work with Professor Yarin Gal on ‘inferring the effects of non-pharmaceutical interventions against COVID-19’, at the German Centre for Infection Research/University of Cologne.

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OATML student to speak at University of Cambridge

OATML student to speak at University of Cambridge

16 Oct 2020

OATML graduate student Tim G. J. Rudner will give an invited talk about his work with Professor Yarin Gal on Inter-domain Deep Gaussian Processes at the University of Cambridge’s ML@CS Seminar.

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Angelos Filos co-organising NeurIPS 2020 Workshop on Talking to Strangers: Zero-Shot Emergent Communication

Angelos Filos co-organising NeurIPS 2020 Workshop on Talking to Strangers: Zero-Shot Emergent Communication

13 Oct 2020

OATML DPhil student Angelos Filos is co-organising the NeurIPS 2020 Workshop on Talking to Strangers: Zero-Shot Emergent Communication.

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OATML student presents at Accenture Turing Innovation Symposium

OATML student presents at Accenture Turing Innovation Symposium

02 Oct 2020

OATML graduate student Lisa Schut presented alongside Rory McGrath, from Accenture Labs, on “Counterfactual Explanations: Making AI decision-making more useful and trustworthy.” The research presented was joint work with Oscar Key and Professor Yarin Gal, in collaboration with Accenture Labs.

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OATML researcher invited to join OECD AI Working Groups

OATML researcher invited to join OECD AI Working Groups

01 Oct 2020

OATML graduate student Tim G. J. Rudner has joined the OECD’s Working Groups on Trustworthy AI and AI Classification as an invited expert.

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OATML researcher invited to speak at Simons Institute

OATML researcher invited to speak at Simons Institute

29 Sep 2020

OATML graduate student Clare Lyle will be giving a talk about her work with Professor Yarin Gal on causal inference and generalization in deep reinforcement learning at the Simons Institute Workshop on Deep Reinforcement Learning on Thursday October 1.

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Yarin Gal to give Keynote at MICCAI UNSURE workshop

Yarin Gal to give Keynote at MICCAI UNSURE workshop

26 Sep 2020

Prof Yarin Gal will give a keynote talk at the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE) workshop at the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference. He will discuss work done at OATML on AI in medical imaging. The talk will cover work on topics ranging from data efficient AI to safe and interpretable AI.

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BAYESIAN DEEP LEARNING 101

BAYESIAN DEEP LEARNING 101

01 Sep 2020

Prof Yarin Gal’s MLSS seminars on Bayesian Deep Learning are available on YouTube (part 1 and part 2), with additional resources available here.

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Tim G. J. Rudner to speak at UCL Centre for AI

Tim G. J. Rudner to speak at UCL Centre for AI

13 Aug 2020

OATML graduate student Tim G. J. Rudner will give an invited talk on Inter-domain Deep Gaussian Processes at the UCL Centre for AI’s Statistical Machine Learning Seminar.

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Clare Lyle awarded OpenPhil AI Fellowship

Clare Lyle awarded OpenPhil AI Fellowship

09 Jun 2020

OATML graduate student Clare Lyle has been selected for the 2020 Open Philanthropy AI Fellowship. The fellowship will support her research for five years.

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OATML researcher to speak at Waymo and Rutherford Appleton Laboratory

OATML researcher to speak at Waymo and Rutherford Appleton Laboratory

06 Jun 2020

OATML graduate student Joost van Amersfoort was invited to talk about his work with Professor Yarin Gal on deterministic uncertainty quantification (DUQ) at Waymo (March 27th) and Rutherford Appleton Laboratory (June 18th).

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OATML researchers to speak at Africa CDC on COVID-19

OATML researchers to speak at Africa CDC on COVID-19

06 Jun 2020

OATML graduate students Jan Brauner and Sören Mindermann will give an invited talk at Africa CDC, Africa’s intercontinental public health agency, on June 12. They will present their work with Professor Yarin Gal on nonpharmacetical interventions against COVID-19 to the COVID-19 modelling group.

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Uncertainty in Brain Tumor Segmentation Challenge

Uncertainty in Brain Tumor Segmentation Challenge

05 Jun 2020

We’re organising the second “Quantification of Uncertainty in Segmentation” task as part of the Multimodal Brain Tumor Segmentation Challenge at MICCAI 2020, together with Angelos Filos, Raghav Mehta and Tal Arbel.

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Bayesian deep learning for all humankind

Bayesian deep learning for all humankind

14 Jan 2020

Our work with NASA and ESA over the past few years, together with Lewis Smith and Tim G. J. Rudner, is summarised in a recent article written by James Parr. Read more in Inspired: Bayesian deep learning for all humankind

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MIT Technology Review names Yarin Gal on their Innovators Under 35 Europe 2019 list

MIT Technology Review names Yarin Gal on their Innovators Under 35 Europe 2019 list

19 Dec 2019

Since 1999, MIT Technology Review has recognised young innovators and talented entrepreneurs from different countries who are developing new technologies to help solve the problems that affect our society. Yarin has been included in the ‘pioneers’ category. Read more: AI still makes mistakes, but his tools can alert us when a system is about to go wrong

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25 papers by OATML authors at NeurIPS 2019

25 papers by OATML authors at NeurIPS 2019

08 Dec 2019

We are glad to share 25 papers by OATML authors and collaborators presented at NeurIPS 2019 conference and workshops. Read more: blog post

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Yarin Gal announced as Turing AI Fellow

Yarin Gal announced as Turing AI Fellow

24 Oct 2019

Yarin Gal is one of five new Turing AI Fellows announced by The Alan Turing Institute. The Office for Artificial Intelligence, The Alan Turing Institute and UK Research and Innovation (UKRI) have worked together to successfully attract the Turing AI Fellows, some of the best research talent from around the world. Yarin will work on democratising safe and robust AI. Read more: Turing AI Fellows

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Six group members honoured as NeurIPS top reviewers

Six group members honoured as NeurIPS top reviewers

07 Sep 2019

Six group members honoured as top reviewers at NeurIPS 2019: 2 members among the top 400 highest scoring reviewers and awarded free registration (Tim G. J. Rudner and Sebastian Farquhar), and 4 among the top 50% reviewers (Zac Kenton, Andreas Kirsch, Angelos Filos and Joost van Amersfoort).

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Angelos Filos co-organising NeurIPS 2019 Workshop on Emergent Communication: Towards Natural Language

Angelos Filos co-organising NeurIPS 2019 Workshop on Emergent Communication: Towards Natural Language

01 Sep 2019

OATML DPhil student Angelos Filos is co-organising the NeurIPS 2019 Workshop on Emergent Communication: Towards Natural Language.

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Aidan Gomez to speak at Deep Learning Indaba

Aidan Gomez to speak at Deep Learning Indaba

20 Aug 2019

OATML graduate student Aidan Gomez will be presenting the Recurrent Neural Networks session with Kris Sankaran at Deep Learning Indaba on Tuesday 27 August. Schedule is available here and slides are available here.

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Uncertainty in Brain Tumor Segmentation Challenge

Uncertainty in Brain Tumor Segmentation Challenge

15 Aug 2019

We’re organising a “Quantification of Uncertainty in Segmentation” task as part of the Multimodal Brain Tumor Segmentation Challenge at MICCAI 2019, together with Angelos Filos, Raghav Mehta and Tal Arbel.

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Fourth Bayesian Deep Learning Workshop

Fourth Bayesian Deep Learning Workshop

01 Aug 2019

We’re organising the Fourth Bayesian Deep Learning Workshop at NeurIPS 2019. This effort is led by Professor Yarin Gal and collaborators.

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OATML students received ICML 2019 Outstanding Reviewer Awards

OATML students received ICML 2019 Outstanding Reviewer Awards

02 Jun 2019

OATML DPhil students Lewis Smith and Tim G. J. Rudner received ICML 2019 Outstanding Reviewer Awards (top 5% of reviewers).

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Yarin Gal to speak at the European Space Agency

Yarin Gal to speak at the European Space Agency

01 Jun 2019

Prof Yarin Gal will be speaking at the European Space Agency’s Phi-week, discussing work done at OATML on AI in space. The talk will cover work on topics ranging from exoplanet atmospheric retrieval to asteroid shape modelling from radar data.

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Angelos Filos' paper accepted for oral presentation at ICML 2019 Workshop

Angelos Filos' paper accepted for oral presentation at ICML 2019 Workshop

15 May 2019

OATML graduate student Angelos Filos will present his paper ‘Inverse Reinforcement Learning for Limit Order Book Dynamics’ at the the ICML 2019 Workshop on Applications and Infrastructure for Multi-Agent Learning, with the paper selected for an oral presentation.

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Yarin Gal to speak at the Royal Society's Summer Science Exhibition on AI and Art

Yarin Gal to speak at the Royal Society's Summer Science Exhibition on AI and Art

02 May 2019

Prof Yarin Gal will be speaking at the Royal Society’s Summer Science Exhibition on 6 July, discussing work on AI and art. The talk will cover techniques in machine learning that give us the chance to venture beyond the frame of some famous paintings.

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Aidan Gomez awarded OpenPhil AI Fellowship

Aidan Gomez awarded OpenPhil AI Fellowship

01 May 2019

OATML graduate student Aidan Gomez has been selected for the 2019 Open Philanthropy AI Fellowship. The fellowship will support his research for five years.

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Aidan Gomez co-organising ICML 2019 Workshop on Invertible Neural Nets and Normalizing Flows

Aidan Gomez co-organising ICML 2019 Workshop on Invertible Neural Nets and Normalizing Flows

15 Apr 2019

OATML DPhil student Aidan Gomez is co-organising the ICML 2019 Workshop on Invertible Neural Nets and Normalizing Flows together with Aaron Courville and Danilo Rezende.

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Yarin Gal to speak at the UN summit on

Yarin Gal to speak at the UN summit on "AI for Good"

02 Apr 2019

Prof Yarin Gal will give a talk at the UN summit on “AI for Good” on the development of AI which we can trust: How can we develop trust-worthy machine learning tools to be deployed in the wild? He will further participate in a panel discussion on the topic IT’S A MATTER OF TRUST.

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NeurIPS and UAI papers

NeurIPS and UAI papers

17 Oct 2018

The Publications page has been updated with NeurIPS and UAI papers.

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Third Bayesian Deep Learning Workshop

Third Bayesian Deep Learning Workshop

17 Oct 2018

We’re organising the Third Bayesian Deep Learning Workshop at NeurIPS 2018. This effort is led by Professor Yarin Gal and collaborators.

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Group website is live!

Group website is live!

01 Oct 2018

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Are you looking to do a PhD in machine learning? Did you do a PhD in another field and want to do a postdoc in machine learning? Would you like to visit the group?

How to apply


Contact

We are located at
Department of Computer Science, University of Oxford
Wolfson Building
Parks Road
OXFORD
OX1 3QD
UK
Twitter: @OATML_Oxford
Github: OATML
Email: oatml@cs.ox.ac.uk