Cycle Consistency Driven Object Discovery von Didolkar, Aniket, Goyal, Anirudh, Bengio, Yoshua

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Automated Discovery of Pairwise Interactions from Unstructured Data von Zuheng, Xu, Jain, Moksh, Denton, Ali, Whitfield, Shawn, Didolkar, Aniket, Earnshaw, Berton, Hartford, Jason

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Zero-Shot Object-Centric Representation Learning von Didolkar, Aniket, Zadaianchuk, Andrii, Goyal, Anirudh, Mozer, Mike, Bengio, Yoshua, Martius, Georg, Seitzer, Maximilian

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CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback von Jolicoeur-Martineau, Alexia, Lamb, Alex, Verma, Vikas, Didolkar, Aniket

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Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs von Guo, Siyuan, Didolkar, Aniket, Ke, Nan Rosemary, Goyal, Anirudh, Huszár, Ferenc, Schölkopf, Bernhard

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Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases von Meo, Cristian, Nakano, Akihiro, Lică, Mircea, Didolkar, Aniket, Suzuki, Masahiro, Goyal, Anirudh, Zhang, Mengmi, Dauwels, Justin, Matsuo, Yutaka, Bengio, Yoshua

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Masked Generative Priors Improve World Models Sequence Modelling Capabilities von Meo, Cristian, Lica, Mircea, Ikram, Zarif, Nakano, Akihiro, Shah, Vedant, Didolkar, Aniket Rajiv, Liu, Dianbo, Goyal, Anirudh, Dauwels, Justin

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Cycle Consistency Driven Object Discovery von Didolkar, Aniket, Goyal, Anirudh, Bengio, Yoshua

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Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving von Didolkar, Aniket, Goyal, Anirudh, Ke, Nan Rosemary, Guo, Siyuan, Valko, Michal, Lillicrap, Timothy, Rezende, Danilo, Bengio, Yoshua, Mozer, Michael, Arora, Sanjeev

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Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning von Didolkar, Aniket, Gupta, Kshitij, Goyal, Anirudh, Gundavarapu, Nitesh B, Lamb, Alex, Ke, Nan Rosemary, Bengio, Yoshua

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Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models von Lamb, Alex, Islam, Riashat, Efroni, Yonathan, Didolkar, Aniket, Misra, Dipendra, Foster, Dylan, Molu, Lekan, Chari, Rajan, Krishnamurthy, Akshay, Langford, John

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Representation Learning in Deep RL via Discrete Information Bottleneck von Islam, Riashat, Zang, Hongyu, Tomar, Manan, Didolkar, Aniket, Islam, Md Mofijul, Arnob, Samin Yeasar, Iqbal, Tariq, Li, Xin, Goyal, Anirudh, Heess, Nicolas, Lamb, Alex

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Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information von Islam, Riashat, Tomar, Manan, Lamb, Alex, Efroni, Yonathan, Zang, Hongyu, Didolkar, Aniket, Misra, Dipendra, Li, Xin, van Seijen, Harm, Combes, Remi Tachet des, Langford, John

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Automated Discovery of Pairwise Interactions from Unstructured Data von Zuheng, Xu, Jain, Moksh, Denton, Ali, Whitfield, Shawn, Didolkar, Aniket, Earnshaw, Berton, Hartford, Jason

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Zero-Shot Object-Centric Representation Learning von Didolkar, Aniket, Zadaianchuk, Andrii, Goyal, Anirudh, Mozer, Mike, Bengio, Yoshua, Martius, Georg, Seitzer, Maximilian

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CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback von Jolicoeur-Martineau, Alexia, Lamb, Alex, Verma, Vikas, Didolkar, Aniket

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Neural Production Systems: Learning Rule-Governed Visual Dynamics von Goyal, Anirudh, Didolkar, Aniket, Ke, Nan Rosemary, Blundell, Charles, Beaudoin, Philippe, Heess, Nicolas, Mozer, Michael, Bengio, Yoshua

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Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases von Meo, Cristian, Nakano, Akihiro, Lică, Mircea, Didolkar, Aniket, Suzuki, Masahiro, Goyal, Anirudh, Zhang, Mengmi, Dauwels, Justin, Matsuo, Yutaka, Bengio, Yoshua

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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning von Ke, Nan Rosemary, Didolkar, Aniket, Mittal, Sarthak, Goyal, Anirudh, Lajoie, Guillaume, Bauer, Stefan, Rezende, Danilo, Bengio, Yoshua, Mozer, Michael, Pal, Christopher

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Coordination Among Neural Modules Through a Shared Global Workspace von Goyal, Anirudh, Didolkar, Aniket, Lamb, Alex, Badola, Kartikeya, Ke, Nan Rosemary, Rahaman, Nasim, Binas, Jonathan, Blundell, Charles, Mozer, Michael, Bengio, Yoshua

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