Research
Publications
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- Date
- Title
- TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
- Authors
- Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Yusuf Aytar, Joao Carreira, Andrew Zisserman, Ankush Gupta
- Venue
- ICCV 2023
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- Date
- Title
- 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
- Authors
- Stannis Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
- Venue
- ICCV 2023
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- Date
- Title
- Theoretical and Practical Perspectives on what Influence Functions Do
- Authors
- Andrea Schioppa, Katja Filippova, Ivan Titov*, Polina Zablotskaia
- Venue
- NeurIPS 2023
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- Date
- Title
- Self-Predictive Universal AI
- Authors
- Elliot Catt, Jordi Grau, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness
- Venue
- NeurIPS 2023
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- Date
- Title
- Tracr: Compiled Transformers as a Laboratory for Interpretability
- Authors
- David Lindner, János Kramár, Sebastian Farquhar, Matthew Rahtz, Thomas McGrath, Vladimir Mikulik
- Venue
- NeurIPS 2023
-
- Date
- Title
- Accurate proteome-wide missense variant effect prediction with AlphaMissense
- Authors
- Jun Cheng, Guido Novati, Joshua Pan, Clare Bycroft, Akvilė Žemgulytė, Taylor Applebaum, Alexander Pritzel, Elisa Wong, Michal Zielinski, Toby Sargeant, Rosalia Schneider, Andrew Senior, John Jumper, Demis Hassabis, Pushmeet Kohli, Žiga Avsec
- Venue
- Science
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- Date
- Title
- Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models
- Authors
- Sumeet Singh, Stephen Tu*, Vikas Sindhwani
- Venue
- arXiv
-
- Date
- Title
- Massively Scalable Inverse Reinforcement Learning for Route Optimization
- Authors
- Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier*, Shawn O'Banion*
- Venue
- arXiv
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- Date
- Title
- Estimating Gibbs free energies via isobaric-isothermal flows
- Authors
- Peter Wirnsberger, Borja Ibarz, George Papamakarios
- Venue
- Machine Learning: Science and Technology
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- Date
- Title
- Natural Quantum Monte Carlo Computation of Excited States
- Authors
- David Pfau, Simon Axelrod*, Halvard Sutterud*, James Spencer, Ingrid von Glehn
- Venue
- arXiv
-
- Date
- Title
- RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
- Authors
- Mel Vecerik, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Stannis Zhou, Andrew Zisserman, Jon Scholz, Lourdes Agapito*
- Venue
- ICRA 2024
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- Date
- Title
- Nevis’22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
- Authors
- Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Owen He, Arthur Douillard, Massimo Caccia*, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, diegolascasas , Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei Rusu, Razvan Pascanu, Marc'aurelio Ranzato
- Venue
- JMLR
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- Date
- Title
- Levin Tree Search with Context Models
- Authors
- Laurent Orseau, Marcus Hutter, Levi H. S. Lelis*
- Venue
- IJCAI 2023
-
- Date
- Title
- Advances in ML-based sampling for Lattice-QCD
- Authors
- Kyle Cranmer, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende & Phiala E. Shanahan
- Venue
- Nature Reviews Physics
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- Date
- Title
- Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals
- Authors
- Kory Mathewson, Piotr Mirowski, jaylenp , Richard Evans
- Venue
- ACM CHI 2022
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- Date
- Title
- Line Search for Convex Minimization
- Authors
- Laurent Orseau, Marcus Hutter
- Venue
- arXiv