Norouzi, Mohammad

59 publications

CVPR 2023 Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan

ICLR 2023 Novel View Synthesis with Diffusion Models Daniel Watson, William Chan, Ricardo Martin Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi

TMLR 2023 Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet

NeurIPS 2023 The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J Fleet

CVPR 2023 TryOnDiffusion: A Tale of Two UNets Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman

JMLR 2022 Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans

TMLR 2022 Decoder Denoising Pretraining for Semantic Segmentation Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

CVPRW 2022 Denoising Pretraining for Semantic Segmentation Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi

ICLR 2022 Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi

NeurIPS 2022 Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi

NeurIPS 2022 Video Diffusion Models Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J Fleet

ICLRW 2022 Video Diffusion Models Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet

ICLR 2021 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization Michael R Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi

ICLR 2021 Benchmarks for Deep Off-Policy Evaluation Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Thomas Paine

ICCV 2021 Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi

ICLR 2021 Mastering Atari with Discrete World Models Danijar Hafner, Timothy P Lillicrap, Mohammad Norouzi, Jimmy Ba

ICLR 2021 No MCMC for Me: Amortized Sampling for Fast and Stable Training of Energy-Based Models Will Sussman Grathwohl, Jacob Jin Kelly, Milad Hashemi, Mohammad Norouzi, Kevin Swersky, David Duvenaud

NeurIPSW 2021 Palette: Image-to-Image Diffusion Models Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi

ICLR 2021 WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen, Yu Zhang, Heiga Zen, Ron J Weiss, Mohammad Norouzi, William Chan

NeurIPS 2021 Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi

ICML 2020 A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton

ICML 2020 An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi

NeurIPS 2020 Big Self-Supervised Models Are Strong Semi-Supervised Learners Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton

ICLR 2020 Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi

NeurIPS 2020 Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi, David J Fleet, Mohammad Norouzi

ICML 2020 Imputer: Sequence Modelling via Imputation and Dynamic Programming William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly

NeurIPS 2020 Memory Based Trajectory-Conditioned Policies for Learning from Sparse Rewards Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, Honglak Lee

ECCV 2020 NASA Neural Articulated Shape Approximation Boyang Deng, Jp Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi

NeurIPS 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez, Konrad Zolna, Rishabh Agarwal, Josh S Merel, Daniel J Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas

ICLR 2020 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen

ICLR 2020 Your Classifier Is Secretly an Energy Based Model and You Should Treat It like One Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky

ICLR 2019 Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee

NeurIPS 2019 Don't Blame the ELBO! a Linear VAE Perspective on Posterior Collapse James Lucas, George Tucker, Roger B Grosse, Mohammad Norouzi

ICML 2019 Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi

ICLR 2019 Optimal Completion Distillation for Sequence Learning Sara Sabour, William Chan, Mohammad Norouzi

ICML 2019 Similarity of Neural Network Representations Revisited Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton

ICLRW 2019 Understanding Posterior Collapse in Generative Latent Variable Models James Lucas, George Tucker, Roger Grosse, Mohammad Norouzi

ICML 2019 Understanding the Impact of Entropy on Policy Optimization Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi, Dale Schuurmans

NeurIPS 2018 Discovery of Latent 3D Keypoints via End-to-End Geometric Reasoning Supasorn Suwajanakorn, Noah Snavely, Jonathan J Tompson, Mohammad Norouzi

NeurIPS 2018 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V Le, Ni Lao

ICLR 2018 QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le

ICML 2018 Smoothed Action Value Functions for Learning Gaussian Policies Ofir Nachum, Mohammad Norouzi, George Tucker, Dale Schuurmans

ICLR 2018 Trust-PCL: An Off-Policy Trust Region Method for Continuous Control Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans

NeurIPS 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans

ICML 2017 Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli, Mohammad Norouzi, Anelia Angelova

ICML 2017 Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean

NeurIPS 2017 Filtering Variational Objectives Chris J Maddison, John Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, Yee Teh

ICLR 2017 Improving Policy Gradient by Exploring Under-Appreciated Rewards Ofir Nachum, Mohammad Norouzi, Dale Schuurmans

ICML 2017 Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan

ICLR 2017 Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi, Samy Bengio

ICCV 2017 Pixel Recursive Super Resolution Ryan Dahl, Mohammad Norouzi, Jonathon Shlens

NeurIPS 2016 Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi, Samy Bengio, Zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans

NeurIPS 2015 Efficient Non-Greedy Optimization of Decision Trees Mohammad Norouzi, Maxwell Collins, Matthew A Johnson, David J Fleet, Pushmeet Kohli

ICLR 2014 Zero-Shot Learning by Convex Combination of Semantic Embeddings Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean

CVPR 2013 Cartesian K-Means Mohammad Norouzi, David J. Fleet

CVPR 2012 Fast Search in Hamming Space with Multi-Index Hashing Mohammad Norouzi, Ali Punjani, David J. Fleet

NeurIPS 2012 Hamming Distance Metric Learning Mohammad Norouzi, David J Fleet, Ruslan Salakhutdinov

ICML 2011 Minimal Loss Hashing for Compact Binary Codes Mohammad Norouzi, David J. Fleet

CVPR 2009 Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning Mohammad Norouzi, Mani Ranjbar, Greg Mori