Siamak Ravanbakhsh
McGill University
H-index: 20
North America-Canada
Top articles of Siamak Ravanbakhsh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Lie Point Symmetry and Physics-Informed Networks | Advances in Neural Information Processing Systems | Tara Akhound-Sadegh Laurence Perreault-Levasseur Johannes Brandstetter Max Welling Siamak Ravanbakhsh | 2024/2/13 |
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities | arXiv preprint arXiv:2402.06121 | Tara Akhound-Sadegh Jarrid Rector-Brooks Avishek Joey Bose Sarthak Mittal Pablo Lemos | 2024/2/9 |
Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions | Transactions on Machine Learning Research | Thuan Trang Khang Nhat Ngo Hugo Sonnery Thieu Vo Siamak Ravanbakhsh | 2024 |
E (3)-Equivariant Mesh Neural Networks | Thuan Anh Trang Nhat Khang Ngo Daniel T Levy Thieu Ngoc Vo Siamak Ravanbakhsh | 2024/4/18 | |
Weight-Sharing Regularization | Mehran Shakerinava Motahareh MS Sohrabi Siamak Ravanbakhsh Simon Lacoste-Julien | 2024/4/18 | |
Equivariant adaptation of large pretrained models | Advances in Neural Information Processing Systems | Arnab Kumar Mondal Siba Smarak Panigrahi Oumar Kaba Sai Rajeswar Mudumba Siamak Ravanbakhsh | 2024/2/13 |
Learning to Reach Goals via Diffusion | arXiv preprint arXiv:2310.02505 | Vineet Jain Siamak Ravanbakhsh | 2023/10/4 |
Equivariance with learned canonicalization functions | Sékou-Oumar Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh | 2023/7/3 | |
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory | arXiv preprint arXiv:2306.11941 | Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar Kaleem Siddiqi Siamak Ravanbakhsh | 2023/6/20 |
On Diffusion Modeling for Anomaly Detection | arXiv preprint arXiv:2305.18593 | Victor Livernoche Vineet Jain Yashar Hezaveh Siamak Ravanbakhsh | 2023/5/29 |
Symmetry Breaking and Equivariant Neural Networks | arXiv preprint arXiv:2312.09016 | Sékou-Oumar Kaba Siamak Ravanbakhsh | 2023/12/14 |
Using Multiple Vector Channels Improves E (n)-Equivariant Graph Neural Networks | Daniel Levy Sékou-Oumar Kaba Carmelo Gonzales Santiago Miret Siamak Ravanbakhsh | 2023 | |
Physics-Informed Transformer Networks | Fabricio Dos Santos Tara Akhound-Sadegh Siamak Ravanbakhsh | 2023/10/31 | |
Structuring Representations Using Group Invariants | Mehran Shakerinava Arnab Kumar Mondal Siamak Ravanbakhsh | 2022/12 | |
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks | Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh | 2022/3/25 | |
Equivariant Networks for Crystal Structures | Sékou-Oumar Kaba Siamak Ravanbakhsh | 2022/11/15 | |
Galaxies on graph neural networks: towards robust synthetic galaxy catalogs with deep generative models | Yesukhei Jagvaral Francois Lanusse Sukhdeep Singh Rachel Mandelbaum Siamak Ravanbakhsh | 2022 | |
Utility theory for sequential decision making | Mehran Shakerinava Siamak Ravanbakhsh | 2022/6/28 | |
EqR: Equivariant representations for data-efficient reinforcement learning | Arnab Kumar Mondal Vineet Jain Kaleem Siddiqi Siamak Ravanbakhsh | 2022/6/28 | |
Characterization of inpaint residuals in interferometric measurements of the epoch of reionization | Monthly Notices of the Royal Astronomical Society | Michael Pagano Jing Liu Adrian Liu Nicholas S Kern Aaron Ewall-Wice | 2023/4 |
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