Lamb, Alex M

6 publications

NeurIPS 2022 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

NeurIPS 2022 Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Nitesh Bharadwaj Gundavarapu, Alex M Lamb, Nan Rosemary Ke, Yoshua Bengio

NeurIPS 2021 Discrete-Valued Neural Communication Dianbo Liu, Alex M Lamb, Kenji Kawaguchi, Anirudh Goyal ALIAS PARTH Goyal, Chen Sun, Michael Mozer, Yoshua Bengio

NeurIPS 2019 On Adversarial Mixup Resynthesis Christopher Beckham, Sina Honari, Vikas Verma, Alex M Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Chris Pal

NeurIPS 2017 GibbsNet: Iterative Adversarial Inference for Deep Graphical Models Alex M Lamb, Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio

NeurIPS 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks Alex M Lamb, Anirudh Goyal ALIAS PARTH Goyal, Ying Zhang, Saizheng Zhang, Aaron C. Courville, Yoshua Bengio