| Single-Trial Detection and Classification of Event-Related Optical Signals for a Brain–Computer Interface Application N Chiou, M Günal, S Koyejo, D Perpetuini, AM Chiarelli, KA Low, ... Bioengineering 11 (8), 781, 2024 | | 2024 |
| Artificial Intelligence, Social Responsibility, and the Roles of the University MC Loui, N Bosch, AS Chan, JL Davis, R Gutiérrez, J He, K Karahalios, ... Communications of the ACM 67 (8), 22-25, 2024 | | 2024 |
| Bayesian Optimization for Crop Genetics with Scalable Probabilistic Models R Azam, ST Truong, SB Fernandes, ADB Leakey, A Lipka, M El-Kebir, ... Symposium on Advances in Approximate Bayesian Inference, 30-44, 2024 | | 2024 |
| Building a Domain-specific Guardrail Model in Production M Niknazar, PV Haley, L Ramanan, ST Truong, Y Shrinivasan, ... arXiv preprint arXiv:2408.01452, 2024 | | 2024 |
| When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? R Schaeffer, D Valentine, L Bailey, J Chua, C Eyzaguirre, Z Durante, ... arXiv preprint arXiv:2407.15211, 2024 | | 2024 |
| Open problems in technical ai governance A Reuel, B Bucknall, S Casper, T Fist, L Soder, O Aarne, L Hammond, ... arXiv preprint arXiv:2407.14981, 2024 | 1 | 2024 |
| Learning to (learn at test time): Rnns with expressive hidden states Y Sun, X Li, K Dalal, J Xu, A Vikram, G Zhang, Y Dubois, X Chen, X Wang, ... arXiv preprint arXiv:2407.04620, 2024 | 3 | 2024 |
| Bridging gaps in automated acute myocardial infarction detection between high-income and low-income countries N Chiou, S Koyejo, C Ngaruiya PLOS Global Public Health 4 (6), e0003240, 2024 | | 2024 |
| Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs A Panda, B Isik, X Qi, S Koyejo, T Weissman, P Mittal arXiv preprint arXiv:2406.16797, 2024 | | 2024 |
| In-Context Learning of Energy Functions R Schaeffer, M Khona, S Koyejo arXiv preprint arXiv:2406.12785, 2024 | | 2024 |
| Quantifying Variance in Evaluation Benchmarks L Madaan, AK Singh, R Schaeffer, A Poulton, S Koyejo, P Stenetorp, ... arXiv preprint arXiv:2406.10229, 2024 | 2 | 2024 |
| Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading N Stromberg, R Ayyagari, S Koyejo, R Nock, L Sankar arXiv preprint arXiv:2406.09561, 2024 | | 2024 |
| Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations R Schaeffer, V Lecomte, DB Pai, A Carranza, B Isik, A Unell, M Khona, ... arXiv preprint arXiv:2406.09366, 2024 | | 2024 |
| Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? R Schaeffer, H Schoelkopf, B Miranda, G Mukobi, V Madan, A Ibrahim, ... arXiv preprint arXiv:2406.04391, 2024 | 3 | 2024 |
| Scalable Ensembling For Mitigating Reward Overoptimisation AM Ahmed, R Rafailov, S Sharkov, X Li, S Koyejo arXiv preprint arXiv:2406.01013, 2024 | 1 | 2024 |
| On Fairness of Low-Rank Adaptation of Large Models Z Ding, KZ Liu, P Peetathawatchai, B Isik, S Koyejo arXiv preprint arXiv:2405.17512, 2024 | | 2024 |
| Towards Fault-Tolerant Federated and Distributed Machine Learning S Koyejo Proceedings of the AAAI Symposium Series 3 (1), 306-306, 2024 | | 2024 |
| Adaptive Compression in Federated Learning via Side Information B Isik, F Pase, D Gunduz, S Koyejo, T Weissman, M Zorzi International Conference on Artificial Intelligence and Statistics, 487-495, 2024 | 1 | 2024 |
| Causally Inspired Regularization Enables Domain General Representations O Salaudeen, S Koyejo International Conference on Artificial Intelligence and Statistics, 3124-3132, 2024 | | 2024 |
| Proxy Methods for Domain Adaptation K Tsai, SR Pfohl, O Salaudeen, N Chiou, M Kusner, A D’Amour, S Koyejo, ... International Conference on Artificial Intelligence and Statistics, 3961-3969, 2024 | | 2024 |
Russ PoldrackProfessor of Psychology, Stanford UniversityVerified email at stanford.edu