Alex Lamb
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
10
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | The Belief State Transformer. | Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford |
| 2025 | ICLR | Towards Improving Exploration through Sibling Augmented GFlowNets. | Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio |
| 2024 | ICLR | Towards Principled Representation Learning from Videos for Reinforcement Learning. | Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford |
| 2024 | ICML | PcLast: Discovering Plannable Continuous Latent States. | Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miroslav Dudk, John Langford, Alex Lamb |
| 2023 | AAAI | Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. | Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi |
| 2023 | AISTATS | Representation Learning in Deep RL via Discrete Information Bottleneck. | Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb |
| 2023 | ECAI | Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. | Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb |
| 2023 | ICML | Principled Offline RL in the Presence of Rich Exogenous Information. | Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford |
| 2022 | ICLR | Coordination Among Neural Modules Through a Shared Global Workspace. | Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio |
| 2021 | AAAI | GraphMix: Improved Training of GNNs for Semi-Supervised Learning. | Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang |
| 2021 | AISTATS | Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. | Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio |
| 2021 | ICLR | Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. | Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer |
| 2021 | ICLR | Recurrent Independent Mechanisms. | Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schlkopf |
| 2020 | ICML | Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. | Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio |
| 2020 | WACV | SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. | Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha |
| 2019 | CCS | Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. | Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio |
| 2019 | ICDAR | KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning. | Tarin Clanuwat, Alex Lamb, Asanobu Kitamoto |
| 2019 | ICLR | Adversarial Mixup Resynthesizers. | Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal |
| 2019 | ICML | State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. | Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer |
| 2019 | ICML | Manifold Mixup: Better Representations by Interpolating Hidden States. | Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio |
| 2019 | IJCAI | Interpolation Consistency Training for Semi-supervised Learning. | Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz |
| 2017 | ICLR | Adversarially Learned Inference. | Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martn Arjovsky, Olivier Mastropietro, Aaron C. Courville |
| 2013 | NAACL | Separating Fact from Fear: Tracking Flu Infections on Twitter. | Alex Lamb, Michael J. Paul, Mark Dredze |