| Ew-tune: A framework for privately fine-tuning large language models with differential privacy R Behnia, MR Ebrahimi, J Pacheco, B Padmanabhan 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 560-566, 2022 | 55 | 2022 |
| Preserving modes and messages via diverse particle selection J Pacheco, S Zuffi, M Black, E Sudderth International Conference on Machine Learning, 1152-1160, 2014 | 29 | 2014 |
| Max-product particle belief propagation R Kothapa, J Pacheco, EB Sudderth Master’s thesis, Brown University, 2011 | 26 | 2011 |
| A robust approach to sequential information theoretic planning S Zheng, J Pacheco, J Fisher International Conference on Machine Learning, 5941-5949, 2018 | 19 | 2018 |
| Binary black-box attacks against static malware detectors with reinforcement learning in discrete action spaces M Ebrahimi, J Pacheco, W Li, JL Hu, H Chen 2021 IEEE Security and Privacy Workshops (SPW), 85-91, 2021 | 18 | 2021 |
| How vision governs the collective behaviour of dense cycling pelotons J Belden, MM Mansoor, A Hellum, SR Rahman, A Meyer, C Pease, ... Journal of the Royal Society Interface 16 (156), 20190197, 2019 | 16 | 2019 |
| Nonparametric object and parts modeling with lie group dynamics DS Hayden, J Pacheco, JW Fisher Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
| Network-level safety metrics for overall traffic safety assessment: A case study X Chen, H Wang, A Razi, B Russo, J Pacheco, J Roberts, J Wishart, ... Ieee Access 11, 17755-17778, 2022 | 12 | 2022 |
| Proteins, particles, and pseudo-max-marginals: a submodular approach J Pacheco, E Sudderth International Conference on Machine Learning, 2200-2208, 2015 | 12 | 2015 |
| Sequential bayesian experimental design with variable cost structure S Zheng, D Hayden, J Pacheco, JW Fisher III Advances in Neural Information Processing Systems 33, 4127-4137, 2020 | 11 | 2020 |
| Variational information planning for sequential decision making J Pacheco, J Fisher The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 11 | 2019 |
| Performance analysis of the probabilistic multi-hypothesis tracking algorithm on the SEABAR data sets CG Hempel, J Pacheco 2009 12th International Conference on Information Fusion, 1830-1836, 2009 | 11 | 2009 |
| Multiscale semi-markov dynamics for intracortical brain-computer interfaces D Milstein, J Pacheco, L Hochberg, JD Simeral, B Jarosiewicz, ... Advances in Neural Information Processing Systems 30, 2017 | 9 | 2017 |
| An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection MR Ebrahimi, W Li, Y Chai, J Pacheco, H Chen 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 567-576, 2022 | 4 | 2022 |
| Lightweight Data Fusion with Conjugate Mappings CL Dean, SJ Lee, J Pacheco, JW Fisher III arXiv preprint arXiv:2011.10607, 2020 | 4 | 2020 |
| Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets CG Hempel, T Luginbuhl, J Pacheco 14th International Conference on Information Fusion, 1-5, 2011 | 4 | 2011 |
| Fast variational estimation of mutual information for implicit and explicit likelihood models C Dahlke, S Zheng, J Pacheco International Conference on Artificial Intelligence and Statistics, 10262-10278, 2023 | 3 | 2023 |
| Minimization of Continuous Bethe Approximations: A Positive Variation. JL Pacheco, EB Sudderth NIPS, 2573-2581, 2012 | 3 | 2012 |
| How probabilistic electricity demand forecasts can expedite universal access to clean and reliable electricity SJ Lee, D Suri, P Somani, CL Dean, J Pacheco, R Stoner, I Perez-Arriaga, ... Energy for Economic Growth, 2021 | 2 | 2021 |
| Improved variational inference for tracking in clutter JL Pacheco, EB Sudderth 2012 IEEE Statistical Signal Processing Workshop (SSP), 852-855, 2012 | 2 | 2012 |
Erik B. SudderthProfessor of Computer Science, UC IrvineVerified email at uci.edu
