Bigbird: A large-scale 3d database of object instances A Singh, J Sha, KS Narayan, T Achim, P Abbeel 2014 IEEE international conference on robotics and automation (ICRA), 509-516, 2014 | 430 | 2014 |
Protein structure and sequence generation with equivariant denoising diffusion probabilistic models N Anand, T Achim arXiv preprint arXiv:2205.15019, 2022 | 198 | 2022 |
Techniques for publishing viewers of content AE D'angelo, RM Cox, SL Huang, JO Lewenstein, TS Achim US Patent 9,256,662, 2016 | 17 | 2016 |
Protein structure and sequence generation with equivariant denoising diffusion probabilistic models. arXiv, 2022. doi: 10.48550 N Anand, T Achim arXiv preprint arXiv.2205.15019, 0 | 12 | |
Beyond parity constraints: Fourier analysis of hash functions for inference T Achim, A Sabharwal, S Ermon International Conference on Machine Learning, 2254-2262, 2016 | 9 | 2016 |
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models, May 2022 N Anand, T Achim URL http://arxiv. org/abs/2205 15019, 0 | 8 | |
Streamlining variational inference for constraint satisfaction problems A Grover, T Achim, S Ermon Advances in Neural Information Processing Systems 31, 2018 | 7 | 2018 |
Tight variational bounds via random projections and I-projections LK Hsu, T Achim, S Ermon Artificial Intelligence and Statistics, 1087-1095, 2016 | 7 | 2016 |
Bigbird:(big) berkeley instance recognition dataset A Singh, J Sha, KS Narayan, T Achim, P Abbeel 2014 IEEE International Conference on Robotics and Automation, 509-516, 2014 | 6 | 2014 |
Protein structure and sequence generation with equivariant denoising diffusion probabilistic models. arXiv 2022 N Anand, T Achim arXiv preprint arXiv:2205.15019, 0 | 4 | |
Protein sequence and structure generation with denoising diffusion probabilistic models N Anand, T Achim US Patent App. 18/199,144, 2023 | | 2023 |