Matthew M. Botvinick
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
4
Active years
2011–2023
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | Learning to Induce Causal Structure. | Nan Rosemary Ke, Silvia Chiappa, Jane X. Wang, Jrg Bornschein, Anirudh Goyal, Mlanie Rey, Theophane Weber, Matthew M. Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende |
| 2022 | ICLR | Perceiver IO: A General Architecture for Structured Inputs & Outputs. | Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hnaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, Joo Carreira |
| 2022 | ICML | General-purpose, long-context autoregressive modeling with Perceiver AR. | Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joo Carreira, Jesse H. Engel |
| 2021 | ICLR | Rapid Task-Solving in Novel Environments. | Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matthew M. Botvinick, David Raposo |
| 2020 | ICLR | MEMO: A Deep Network for Flexible Combination of Episodic Memories. | Andrea Banino, Adri Puigdomnech Badia, Raphael Kster, Martin J. Chadwick, Vincius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell |
| 2020 | ICLR | The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. | Anirudh Goyal, Yoshua Bengio, Matthew M. Botvinick, Sergey Levine |
| 2020 | ICLR | Environmental drivers of systematicity and generalization in a situated agent. | Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro |
| 2020 | ICLR | V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control. | H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick |
| 2020 | ICML | Stabilizing Transformers for Reinforcement Learning. | Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, aglar Glehre, Siddhant M. Jayakumar, Max Jaderberg, Raphal Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell |
| 2019 | CogSci | A resource-rational model of physical abstraction for efficient mental simulation. | Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew M. Botvinick |
| 2019 | ICLR | InfoBot: Transfer and Exploration via the Information Bottleneck. | Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine |
| 2019 | ICLR | Relational Forward Models for Multi-Agent Learning. | Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vincius Flores Zambaldi, Jnos Kramr, Neil C. Rabinowitz, Thore Graepel, Matthew M. Botvinick, Peter W. Battaglia |
| 2019 | ICLR | Deep reinforcement learning with relational inductive biases. | Vincius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia |
| 2019 | ICML | Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. | Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling |
| 2019 | ICML | Multi-Object Representation Learning with Iterative Variational Inference. | Klaus Greff, Raphal Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew M. Botvinick, Alexander Lerchner |
| 2018 | CogSci | Episodic Control through Meta-Reinforcement Learning. | Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Matthew M. Botvinick |
| 2018 | ICLR | SCAN: Learning Hierarchical Compositional Visual Concepts. | Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner |
| 2018 | ICLR | On the importance of single directions for generalization. | Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick |
| 2018 | ICML | Machine Theory of Mind. | Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew M. Botvinick |
| 2018 | ICML | Been There, Done That: Meta-Learning with Episodic Recall. | Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick |
| 2017 | CogSci | Tutorial: Recent Advances in Deep Learning. | Matthew M. Botvinick, Peter W. Battaglia |
| 2017 | CogSci | Structure Learning in Motor Control: A Deep Reinforcement Learning Model. | Ari Weinstein, Matthew M. Botvinick |
| 2017 | ICLR | beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. | Irina Higgins, Loc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, Alexander Lerchner |
| 2017 | ICML | Learning to Learn without Gradient Descent by Gradient Descent. | Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas |
| 2017 | ICML | DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. | Irina Higgins, Arka Pal, Andrei A. Rusu, Loc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner |
| 2016 | ICML | Meta-Learning with Memory-Augmented Neural Networks. | Adam Santoro, Sergey Bartunov, Matthew M. Botvinick, Daan Wierstra, Timothy P. Lillicrap |
| 2013 | CogSci | Structured cognitive representations and complex inference in neural systems. | Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew M. Botvinick, Peter Dayan |
| 2011 | KDD | Classification of functional magnetic resonance imaging data using informative pattern features. | Francisco Pereira, Matthew M. Botvinick |