Charles Blundell

96 papers A* 25A 3B 2Journal 55Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Improving fine-grained understanding in image-text pre-training. ICML Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic
2024	J	`jnl`	Improving fine-grained understanding in image-text pre-training. CoRR Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic
2024	J	`jnl`	Synth CoRR Sahand Sharifzadeh, Christos Kaplanis, Shreya Pathak, Dharshan Kumaran, Anastasija Ilic, Jovana Mitrovic, Charles Blundell, Andrea Banino
2024	J	`jnl`	The CLRS-Text Algorithmic Reasoning Language Benchmark. CoRR Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic
2024	A*	`conf`	Unlocking the Power of Representations in Long-term Novelty-based Exploration. ICLR Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
2023	A*	`conf`	Human-level Atari 200x faster. ICLR Steven Kapturowski, Victor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adrià Puigdomènech Badia
2023	A*	`conf`	Neural Algorithmic Reasoning with Causal Regularisation. ICML Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Neural Algorithmic Reasoning with Causal Regularisation. CoRR Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	A*	`conf`	SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. ICLR Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023	J	`jnl`	SemPPL: Predicting pseudo-labels for better contrastive representations. CoRR Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023	J	`jnl`	Unlocking the Power of Representations in Long-term Novelty-based Exploration. CoRR Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
2022	—	`conf`	A Generalist Neural Algorithmic Learner. LoG Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
2022	J	`jnl`	A Generalist Neural Algorithmic Learner. CoRR Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
2022	A*	`conf`	CoBERL: Contrastive BERT for Reinforcement Learning. ICLR Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
2022	A*	`conf`	Coordination Among Neural Modules Through a Shared Global Workspace. ICLR Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio
2022	J	`jnl`	Human-level Atari 200x faster. CoRR Steven Kapturowski, Víctor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adrià Puigdomènech Badia
2022	J	`jnl`	Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell
2022	J	`jnl`	Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? CoRR Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2022	—	`conf`	Reasoning-Modulated Representations. LoG Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
2022	A*	`conf`	Retrieval-Augmented Reinforcement Learning. ICML Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Peter Conway Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell
2022	J	`jnl`	Retrieval-Augmented Reinforcement Learning. CoRR Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell
2022	A*	`conf`	The CLRS Algorithmic Reasoning Benchmark. ICML Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2022	J	`jnl`	The CLRS Algorithmic Reasoning Benchmark. CoRR Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2021	J	`jnl`	Advancing mathematics by guiding human intuition with AI. Nat. Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
2021	J	`jnl`	CoBERL: Contrastive BERT for Reinforcement Learning. CoRR Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
2021	J	`jnl`	Coordination Among Neural Modules Through a Shared Global Workspace. CoRR Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio
2021	J	`jnl`	Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. CoRR Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell
2021	A*	`conf`	Emphatic Algorithms for Deep Reinforcement Learning. ICML Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2021	J	`jnl`	Emphatic Algorithms for Deep Reinforcement Learning. CoRR Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
2021	A*	`conf`	Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. ICLR Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer
2021	J	`jnl`	Neural Algorithmic Reasoning. CoRR Petar Velickovic, Charles Blundell
2021	A*	`conf`	Neural Production Systems. NeurIPS Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
2021	J	`jnl`	Neural Production Systems. CoRR Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
2021	J	`jnl`	Neural algorithmic reasoning. Patterns Petar Velickovic, Charles Blundell
2021	J	`jnl`	Persistent Message Passing. CoRR Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic
2021	J	`jnl`	PonderNet: Learning to Ponder. CoRR Andrea Banino, Jan Balaguer, Charles Blundell
2021	J	`jnl`	Reasoning-Modulated Representations. CoRR Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
2021	A*	`conf`	Representation Learning via Invariant Causal Mechanisms. ICLR Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Holger Buesing, Charles Blundell
2020	A*	`conf`	Agent57: Outperforming the Atari Human Benchmark. ICML Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
2020	J	`jnl`	Agent57: Outperforming the Atari Human Benchmark. CoRR Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
2020	A*	`conf`	MEMO: A Deep Network for Flexible Combination of Episodic Memories. ICLR Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell
2020	J	`jnl`	MEMO: A Deep Network for Flexible Combination of Episodic Memories. CoRR Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell
2020	A*	`conf`	Neural Execution of Graph Algorithms. ICLR Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
2020	A*	`conf`	Never Give Up: Learning Directed Exploration Strategies. ICLR Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
2020	J	`jnl`	Never Give Up: Learning Directed Exploration Strategies. CoRR Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
2020	J	`jnl`	Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems. CoRR Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer
2020	A*	`conf`	Pointer Graph Networks. NeurIPS Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
2020	J	`jnl`	Pointer Graph Networks. CoRR Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
2020	J	`jnl`	Representation Learning via Invariant Causal Mechanisms. CoRR Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Buesing, Charles Blundell
2019	—	`conf`	Community size effect in artificial learning systems. ViGIL@NeurIPS Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup
2019	A*	`conf`	Generalization of Reinforcement Learners with Working and Episodic Memory. NeurIPS Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
2019	J	`jnl`	Generalization of Reinforcement Learners with Working and Episodic Memory. CoRR Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
2019	J	`jnl`	Neural Execution of Graph Algorithms. CoRR Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
2019	J	`jnl`	Shaping representations through communication: community size effect in artificial learning systems. CoRR Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup
2018	A*	`conf`	Been There, Done That: Meta-Learning with Episodic Recall. ICML Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick
2018	J	`jnl`	Been There, Done That: Meta-Learning with Episodic Recall. CoRR Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick
2018	A*	`conf`	Fast deep reinforcement learning using online adjustments from the past. NeurIPS Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
2018	J	`jnl`	Fast deep reinforcement learning using online adjustments from the past. CoRR Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
2018	—	`conf`	Memory-based Parameter Adaptation. ICLR (Poster) Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018	J	`jnl`	Memory-based Parameter Adaptation. CoRR Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018	—	`conf`	Noisy Networks For Exploration. ICLR (Poster) Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
2018	J	`jnl`	Pushing the bounds of dropout. CoRR Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
2018	J	`jnl`	Vector-based navigation using grid-like representations in artificial agents. Nat. Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran
2017	J	`jnl`	Bayesian Recurrent Neural Networks. CoRR Meire Fortunato, Charles Blundell, Oriol Vinyals
2017	A*	`conf`	DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. ICML Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner
2017	J	`jnl`	DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. CoRR Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner
2017	J	`jnl`	Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server. J. Mach. Learn. Res. Leonard Hasenclever, Stefan Webb, Thibaut Liénart, Sebastian J. Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh
2017	J	`jnl`	Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees. CoRR Daniel Zoran, Balaji Lakshminarayanan, Charles Blundell
2017	B	`conf`	Learning to reinforcement learn. CogSci Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick
2017	A*	`conf`	Neural Episodic Control. ICML Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell
2017	J	`jnl`	Neural Episodic Control. CoRR Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell
2017	J	`jnl`	Noisy Networks for Exploration. CoRR Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
2017	J	`jnl`	PathNet: Evolution Channels Gradient Descent in Super Neural Networks. CoRR Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, Daan Wierstra
2017	—	`conf`	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. NIPS Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
2016	—	`conf`	Deep Exploration via Bootstrapped DQN. NIPS Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy
2016	J	`jnl`	Deep Exploration via Bootstrapped DQN. CoRR Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy
2016	J	`jnl`	Early Visual Concept Learning with Unsupervised Deep Learning. CoRR Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner
2016	J	`jnl`	Learning to reinforcement learn. CoRR Jane X. Wang, Zeb Kurth-Nelson, Dhruva Tirumala, Hubert Soyer, Joel Z. Leibo, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matthew M. Botvinick
2016	—	`conf`	Matching Networks for One Shot Learning. NIPS Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra
2016	J	`jnl`	Matching Networks for One Shot Learning. CoRR Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, Daan Wierstra
2016	J	`jnl`	Model-Free Episodic Control. CoRR Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li, Avraham Ruderman, Joel Z. Leibo, Jack W. Rae, Daan Wierstra, Demis Hassabis
2016	J	`jnl`	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. CoRR Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
2015	J	`jnl`	Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server. CoRR Yee Whye Teh, Leonard Hasenclever, Thibaut Liénart, Sebastian J. Vollmer, Stefan Webb, Balaji Lakshminarayanan, Charles Blundell
2015	A	`conf`	The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. AISTATS Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
2015	A*	`conf`	Weight Uncertainty in Neural Network. ICML Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra
2015	J	`jnl`	Weight Uncertainty in Neural Networks. CoRR Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra
2014	A*	`conf`	Deep AutoRegressive Networks. ICML Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra
2014	J	`jnl`	The Bayesian Echo Chamber: Modeling Influence in Conversations. CoRR Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
2013	—	`conf`	Bayesian Hierarchical Community Discovery. NIPS Charles Blundell, Yee Whye Teh
2012	J	`jnl`	Bayesian Rose Trees CoRR Charles Blundell, Yee Whye Teh, Katherine A. Heller
2012	B	`conf`	Look-Ahead Monte Carlo with People. CogSci Charles Blundell, Adam Sanborn, Thomas L. Griffiths
2012	—	`conf`	Modelling Reciprocating Relationships with Hawkes Processes. NIPS Charles Blundell, Katherine A. Heller, Jeffrey M. Beck
2011	A	`conf`	Mixed Cumulative Distribution Networks. AISTATS Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh
2011	—	`conf`	Modelling Genetic Variations using Fragmentation-Coagulation Processes. NIPS Yee Whye Teh, Charles Blundell, Lloyd T. Elliott
2010	A	`conf`	Bayesian Rose Trees. UAI Charles Blundell, Yee Whye Teh, Katherine A. Heller
2010	J	`jnl`	Mixed Cumulative Distribution Networks CoRR Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh