Dumitru Erhan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2007–2023
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICLR | 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 |
| 2022 | ICLR | Information Prioritization through Empowerment in Visual Model-based RL. | Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine |
| 2020 | CVPR | SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. | Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar |
| 2020 | ICLR | Model Based Reinforcement Learning for Atari. | Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski |
| 2020 | ICLR | VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation. | Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma |
| 2018 | ICLR | Stochastic Variational Video Prediction. | Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine |
| 2018 | ICLR | Learning how to explain neural networks: PatternNet and PatternAttribution. | Pieter-Jan Kindermans, Kristof T. Schtt, Maximilian Alber, Klaus-Robert Mller, Dumitru Erhan, Been Kim, Sven Dhne |
| 2018 | ICML | Hierarchical Long-term Video Prediction without Supervision. | Nevan Wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee |
| 2017 | CVPR | Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. | Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan |
| 2016 | ECCV | SSD: Single Shot MultiBox Detector. | Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg |
| 2015 | CVPR | Going deeper with convolutions. | Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich |
| 2015 | CVPR | Show and tell: A neural image caption generator. | Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan |
| 2014 | CVPR | Scalable Object Detection Using Deep Neural Networks. | Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov |
| 2013 | ICONIP | Challenges in Representation Learning: A Report on Three Machine Learning Contests. | Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio |
| 2012 | UAI | Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits. | Miroslav Dudk, Dumitru Erhan, John Langford, Lihong Li |
| 2008 | AAAI | Zero-data Learning of New Tasks. | Hugo Larochelle, Dumitru Erhan, Yoshua Bengio |
| 2007 | ICML | An empirical evaluation of deep architectures on problems with many factors of variation. | Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio |