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Anirudh Goyal

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Discrete Key-Value Bottleneck

Jul 22, 2022
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf

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On the Generalization and Adaption Performance of Causal Models

Jun 09, 2022
Nino Scherrer, Anirudh Goyal, Stefan Bauer, Yoshua Bengio, Nan Rosemary Ke

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Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning

May 30, 2022
Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Alex Lamb, Nan Rosemary Ke, Yoshua Bengio

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Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel

May 25, 2022
Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio

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Learning to Induce Causal Structure

Apr 11, 2022
Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jorg Bornschein, Theophane Weber, Anirudh Goyal, Matthew Botvinic, Michael Mozer, Danilo Jimenez Rezende

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Generating Fast and Slow: Scene Decomposition via Reconstruction

Mar 21, 2022
Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki

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* Project website at https://mihirp1998.github.io/project_pages/gfsnets

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Retrieval-Augmented Reinforcement Learning

Mar 09, 2022
Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adria Puigdomenech Badia, Arthur Guez, Mehdi Mirza, Peter C. Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell

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Learning Neural Causal Models with Active Interventions

Sep 06, 2021
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke

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