Denil, Misha

24 publications

ICLRW 2025 Vision-Language Model Dialog Games for Self-Improvement Ksenia Konyushkova, Christos Kaplanis, Serkan Cabi, Misha Denil

ICLR 2024 $\pi$2vec: Policy Representation with Successor Features Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil

TMLR 2024 RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauza Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott Reed, Sergio Gómez Colmenarejo, Jonathan Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, David Barker, Joy Ortiz, Martin Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoLLAs 2023 Vision-Language Models as Success Detectors Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando Freitas, Serkan Cabi

NeurIPS 2021 Active Offline Policy Selection Ksenia Konyushova, Yutian Chen, Thomas Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J Mankowitz, Misha Denil, Nando de Freitas

ICLR 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team

CoRL 2020 Positive-Unlabeled Reward Learning Danfei Xu, Misha Denil

CoRL 2020 Task-Relevant Adversarial Imitation Learning Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang

ICLR 2019 Hyperbolic Attention Networks Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas

ICLR 2018 Learning Awareness Models Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gómez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil

ICML 2017 Learned Optimizers That Scale and Generalize Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Nando Freitas, Jascha Sohl-Dickstein

ICML 2017 Learning to Learn Without Gradient Descent by Gradient Descent Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando Freitas

ICLR 2017 Learning to Navigate in Complex Environments Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell

ICLR 2017 Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas

CoRL 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas

ICLR 2016 ACDC: A Structured Efficient Linear Layer Marcin Moczulski, Misha Denil, Jeremy Appleyard, Nando de Freitas

NeurIPS 2016 Learning to Learn by Gradient Descent by Gradient Descent Marcin Andrychowicz, Misha Denil, Sergio Gómez, Matthew W Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas

ICML 2016 Noisy Activation Functions Caglar Gulcehre, Marcin Moczulski, Misha Denil, Yoshua Bengio

ICCV 2015 Deep Fried Convnets Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu Wang

NeurIPS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models Yariv D Mizrahi, Misha Denil, Nando de Freitas

ICML 2014 Linear and Parallel Learning of Markov Random Fields Yariv Mizrahi, Misha Denil, Nando De Freitas

ICML 2014 Narrowing the Gap: Random Forests in Theory and in Practice Misha Denil, David Matheson, Nando De Freitas

ICML 2013 Consistency of Online Random Forests Misha Denil, David Matheson, Nando Freitas

NeurIPS 2013 Predicting Parameters in Deep Learning Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas