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Jason L. Pacheco
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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
552022
Preserving modes and messages via diverse particle selection
J Pacheco, S Zuffi, M Black, E Sudderth
International Conference on Machine Learning, 1152-1160, 2014
292014
Max-product particle belief propagation
R Kothapa, J Pacheco, EB Sudderth
Master’s thesis, Brown University, 2011
262011
A robust approach to sequential information theoretic planning
S Zheng, J Pacheco, J Fisher
International Conference on Machine Learning, 5941-5949, 2018
192018
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
182021
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
162019
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
142020
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
122022
Proteins, particles, and pseudo-max-marginals: a submodular approach
J Pacheco, E Sudderth
International Conference on Machine Learning, 2200-2208, 2015
122015
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
112020
Variational information planning for sequential decision making
J Pacheco, J Fisher
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
112019
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
112009
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
92017
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
42022
Lightweight Data Fusion with Conjugate Mappings
CL Dean, SJ Lee, J Pacheco, JW Fisher III
arXiv preprint arXiv:2011.10607, 2020
42020
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
42011
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
32023
Minimization of Continuous Bethe Approximations: A Positive Variation.
JL Pacheco, EB Sudderth
NIPS, 2573-2581, 2012
32012
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
22021
Improved variational inference for tracking in clutter
JL Pacheco, EB Sudderth
2012 IEEE Statistical Signal Processing Workshop (SSP), 852-855, 2012
22012
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