| Taxonomizing local versus global structure in neural network loss landscapes Y Yang, L Hodgkinson, R Theisen, J Zou, JE Gonzalez, K Ramchandran, ... Advances in Neural Information Processing Systems 34, 18722-18733, 2021 | 29 | 2021 |
| Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data Y Yang, R Theisen, L Hodgkinson, JE Gonzalez, K Ramchandran, ... arXiv preprint arXiv:2202.02842, 2022 | 15 | 2022 |
| Asymptotic flocking for the three-zone model F Cao, S Motsch, A Reamy, R Theisen Mathematical Biosciences and Engineering 17 (6), 7692-7707, 2020 | 14 | 2020 |
| Deterministic versus stochastic consensus dynamics on graphs D Weber, R Theisen, S Motsch Journal of Statistical Physics 176, 40-68, 2019 | 12 | 2019 |
| Test accuracy vs. generalization gap: Model selection in nlp without accessing training or testing data Y Yang, R Theisen, L Hodgkinson, JE Gonzalez, K Ramchandran, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Evaluating State-of-the-Art Classification Models Against Bayes Optimality R Theisen, H Wang, LR Varshney, C Xiong, R Socher Advances in Neural Information Processing Systems 34, 2021 | 9 | 2021 |
| Good classifiers are abundant in the interpolating regime R Theisen, J Klusowski, M Mahoney International Conference on Artificial Intelligence and Statistics, 3376-3384, 2021 | 9* | 2021 |
| When are ensembles really effective? R Theisen, H Kim, Y Yang, L Hodgkinson, MW Mahoney Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Global capacity measures for deep relu networks via path sampling R Theisen, JM Klusowski, H Wang, NS Keskar, C Xiong, R Socher arXiv preprint arXiv:1910.10245, 2019 | 4 | 2019 |
| Preference optimization for molecular language models R Park, R Theisen, N Sahni, M Patek, A Cichońska, R Rahman arXiv preprint arXiv:2310.12304, 2023 | 2 | 2023 |
| Leveraging multiple data types for improved compound-kinase bioactivity prediction R Theisen, T Wang, B Ravikumar, R Rahman, A Cichońska bioRxiv, 2024.03. 07.583951, 2024 | 1 | 2024 |
| Beyond Worst-Case Generalization in Modern Machine Learning RC Theisen University of California, Berkeley, 2023 | 1 | 2023 |
| Delineating Drug Class and Target-Specific Adverse Events of Kinase Inhibitors A Schweickart, J Somani, R Theisen, N Sahni, A Cichonska, R Rahman medRxiv, 2024.08. 07.24311573, 2024 | | 2024 |
