Ke, Nan Rosemary

25 publications

TMLR 2025 Exploring Exploration with Foundation Agents in Interactive Environments Daniel P. Sawyer, Nan Rosemary Ke, Hubert Soyer, Martin Engelcke, John Reid, David P Reichert, Drew A. Hudson, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang

ICLRW 2025 Large Language Models for Zero-Shot Inference of Causal Structures in Biology Izzy Newsham, Luka Kovačević, Richard Moulange, Nan Rosemary Ke, Sach Mukherjee

NeurIPSW 2024 AI-Assisted Generation of Difficult Math Questions Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Jiatong Yu, Yinghui He, Nan Rosemary Ke, Michael Curtis Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal

NeurIPS 2024 Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy Lillicrap, Danilo Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora

ICMLW 2024 Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Aniket Rajiv Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael Curtis Mozer, Sanjeev Arora

ICLRW 2023 Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang, Nan Rosemary Ke, Hado van Hasselt

ICLR 2023 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende

TMLR 2023 Neural Causal Structure Discovery from Interventions Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio

ICLR 2022 Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio

CLeaR 2022 Learning Causal Overhypotheses Through Exploration in Children and Computational Models Eliza Kosoy, Adrian Liu, Jasmine L Collins, David Chan, Jessica B Hamrick, Nan Rosemary Ke, Sandy Huang, Bryanna Kaufmann, John Canny, Alison Gopnik

ICMLW 2022 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Matthew Botvinick, Theophane Weber, Michael Curtis Mozer, Danilo Jimenez Rezende

ICMLW 2022 On the Generalization and Adaption Performance of Causal Models Nino Scherrer, Anirudh Goyal, Stefan Bauer, Yoshua Bengio, Nan Rosemary Ke

ICML 2022 Retrieval-Augmented Reinforcement Learning Anirudh Goyal, Abram Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Peter C Humphreys, Ksenia Konyushova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell

NeurIPS 2022 Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Nitesh Bharadwaj Gundavarapu, Alex M Lamb, Nan Rosemary Ke, Yoshua Bengio

ICLR 2021 Fast and Slow Learning of Recurrent Independent Mechanisms Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio

NeurIPS 2021 Neural Production Systems Anirudh Goyal ALIAS PARTH Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

ICLR 2019 H-Detach: Modifying the LSTM Gradient Towards Better Optimization Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas, Yoshua Bengio

ICLR 2019 Modeling the Long Term Future in Model-Based Reinforcement Learning Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra

ICML 2018 Focused Hierarchical RNNs for Conditional Sequence Processing Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal

NeurIPS 2018 Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding Nan Rosemary Ke, Anirudh Goyal ALIAS PARTH Goyal, Olexa Bilaniuk, Jonathan Binas, Michael Mozer, Chris Pal, Yoshua Bengio

ICLR 2018 Twin Networks: Matching the Future for Sequence Generation Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio

NeurIPS 2017 Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal ALIAS PARTH Goyal, Nan Rosemary Ke, Surya Ganguli, Yoshua Bengio

NeurIPS 2017 Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal ALIAS PARTH Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio

ICLR 2017 Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations David Krueger, Tegan Maharaj, János Kramár, Mohammad Pezeshki, Nicolas Ballas, Nan Rosemary Ke, Anirudh Goyal, Yoshua Bengio, Aaron C. Courville, Christopher J. Pal

UAI 2016 Cascading Bandits for Large-Scale Recommendation Problems Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton