| An empirical evaluation of generic convolutional and recurrent networks for sequence modeling S Bai, JZ Kolter, V Koltun arXiv preprint arXiv:1803.01271, 2018 | 2266 | 2018 |
| Multimodal Transformer for Unaligned Multimodal Language Sequences YHH Tsai*, S Bai*, PP Liang, JZ Kolter, LP Morency, R Salakhutdinov Proceedings of the Annual Meeting of the Association for Computational …, 2019 | 305 | 2019 |
| Deep equilibrium models S Bai, JZ Kolter, V Koltun Advances in Neural Information Processing Systems, 688-699, 2019 | 243 | 2019 |
| Trellis networks for sequence modeling S Bai, JZ Kolter, V Koltun International Conference on Learning Representations (ICLR), 2019 | 82 | 2019 |
| Multiscale Deep Equilibrium Models S Bai, V Koltun, JZ Kolter Advances in Neural Information Processing Systems, 2020 | 75 | 2020 |
| Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel YHH Tsai, S Bai, M Yamada, LP Morency, R Salakhutdinov Proceedings of the Conference on Empirical Methods in Natural Language …, 2019 | 62 | 2019 |
| Convolutional sequence modeling revisited S Bai, JZ Kolter, V Koltun International Conference on Learning Representations (ICLR), 2018 | 42 | 2018 |
| An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. CoRR abs/1803.01271 (2018) S Bai, JZ Kolter, V Koltun arXiv preprint arXiv:1803.01271, 2018 | 15* | 2018 |
| Stabilizing Equilibrium Models by Jacobian Regularization S Bai, V Koltun, JZ Kolter International Conference on Machine Learning (ICML), 2021 | 13 | 2021 |
| : Implicit Layers for Implicit Representations Z Huang, S Bai, JZ Kolter Advances in Neural Information Processing Systems 34, 2021 | 8 | 2021 |
| A community-powered search of machine learning strategy space to find NMR property prediction models LA Bratholm, W Gerrard, B Anderson, S Bai, S Choi, L Dang, P Hanchar, ... Plos one 16 (7), e0253612, 2021 | 6 | 2021 |
| A note on connecting barlow twins with negative-sample-free contrastive learning YHH Tsai, S Bai, LP Morency, R Salakhutdinov arXiv preprint arXiv:2104.13712, 2021 | 6 | 2021 |
| On Training Implicit Models Z Geng*, XY Zhang*, S Bai, Y Wang, Z Lin Advances in Neural Information Processing Systems 34, 2021 | 4 | 2021 |
| Joint inference and input optimization in equilibrium networks S Gurumurthy, S Bai, Z Manchester, JZ Kolter Advances in Neural Information Processing Systems 34, 2021 | 2 | 2021 |
| Neural deep equilibrium solvers S Bai, V Koltun, JZ Kolter International Conference on Learning Representations, 2021 | 2 | 2021 |
| SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models Z Ramzi, F Mannel, S Bai, JL Starck, P Ciuciu, T Moreau arXiv preprint arXiv:2106.00553, 2021 | 2 | 2021 |
| Deep Equilibrium Optical Flow Estimation S Bai, Z Geng, Y Savani, JZ Kolter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | | 2022 |
| System and method for multiscale deep equilibrium models BAI Shaojie, J Kolter, V Koltun, DT Willmott US Patent App. 16/895,683, 2021 | | 2021 |
| Graph transformer neural network force field for prediction of atomic forces and energies in molecular dynamic simulations BAI Shaojie, JZ Kolter, M Kornbluth, J Mailoa, D Willmott US Patent 11,170,141, 2021 | | 2021 |
| Deep neural network with equilibrium solver BAI Shaojie, JZ Kolter, M Schober US Patent App. 16/985,852, 2021 | | 2021 |
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
