Erhan, Dumitru

28 publications

ICLR 2023 Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan

NeurIPS 2023 StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

ICLR 2022 Information Prioritization Through Empowerment in Visual Model-Based RL Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine

ICLR 2020 Model Based Reinforcement Learning for Atari Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłos, Błażej Osiński, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski

ICLR 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma

NeurIPS 2019 A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim

NeurIPS 2019 High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V Le, Honglak Lee

ICML 2018 Hierarchical Long-Term Video Prediction Without Supervision Nevan Wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee

ICLR 2018 Learning How to Explain Neural Networks: PatternNet and PatternAttribution Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne

ICLR 2018 Stochastic Variational Video Prediction Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine

CVPR 2017 Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

NeurIPS 2016 Domain Separation Networks Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

ECCV 2016 SSD: Single Shot MultiBox Detector Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg

CVPR 2015 Going Deeper with Convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

CVPR 2015 Show and Tell: A Neural Image Caption Generator Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan

ICLR 2015 Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich

ICLR 2014 Intriguing Properties of Neural Networks Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus

CVPR 2014 Scalable Object Detection Using Deep Neural Networks Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov

NeurIPS 2013 Deep Neural Networks for Object Detection Christian Szegedy, Alexander Toshev, Dumitru Erhan

UAI 2012 Sample-Efficient Nonstationary Policy Evaluation for Contextual Bandits Miroslav Dudík, Dumitru Erhan, John Langford, Lihong Li

AISTATS 2011 Deep Learners Benefit More from Out-of-Distribution Examples Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger–Lewandowski, Thomas Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard

JMLR 2010 Why Does Unsupervised Pre-Training Help Deep Learning? Dumitru Erhan, Yoshua Bengio, Aaron Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio

AISTATS 2010 Why Does Unsupervised Pre-Training Help Deep Learning? Dumitru Erhan, Aaron Courville, Yoshua Bengio, Pascal Vincent

AISTATS 2009 Deep Learning Using Robust Interdependent Codes Hugo Larochelle, Dumitru Erhan, Pascal Vincent

AISTATS 2009 The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, Pascal Vincent

AAAI 2008 Zero-Data Learning of New Tasks Hugo Larochelle, Dumitru Erhan, Yoshua Bengio

ICML 2007 An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio

MLJ 2006 Aggregate Features and ADABOOSTfor Music Classification James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl