Personal information

Activities

Collapse all

Works (22)

Efficient Variational Sequential Information Control

International Conference on Artificial Intelligence and Statistics
2024 | Conference paper
Contributors: Shen, Jianwei; Pacheco, Jason
Source: Self-asserted source
Jason Pacheco

On convergence of polynomial approximations to the Gaussian mixture entropy

Advances in Neural Information Processing Systems
2024 | Journal article
Contributors: Dahlke, Caleb; Pacheco, Jason
Source: Self-asserted source
Jason Pacheco

Fast variational estimation of mutual information for implicit and explicit likelihood models

International Conference on Artificial Intelligence and Statistics
2023 | Conference paper
Contributors: Dahlke, Caleb; Zheng, Sue; Pacheco, Jason
Source: Self-asserted source
Jason Pacheco

Network-Level Safety Metrics for Overall Traffic Safety Assessment: A Case Study

IEEE Access
2023 | Journal article
DOI: 10.1109/ACCESS.2022.3223046
Contributors: Xiwen Chen; Hao Wang; Abolfazl Razi; Brendan Russo; Jason Pacheco; John Roberts; Jeffrey Wishart; Larry Head; Alonso Granados Baca
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection

2022 IEEE International Conference on Data Mining Workshops (ICDMW)
2022 | Conference paper
Contributors: Ebrahimi, Mohammadreza Reza; Li, Weifeng; Chai, Yidong; Pacheco, Jason; Chen, Hsinchun
Source: Self-asserted source
Jason Pacheco

Ew-tune: A framework for privately fine-tuning large language models with differential privacy

2022 IEEE International Conference on Data Mining Workshops (ICDMW)
2022 | Conference paper
Contributors: Behnia, Rouzbeh; Ebrahimi, Mohammadreza Reza; Pacheco, Jason; Padmanabhan, Balaji
Source: Self-asserted source
Jason Pacheco

Binary black-box attacks against static malware detectors with reinforcement learning in discrete action spaces

2021 IEEE Security and Privacy Workshops (SPW)
2021 | Conference paper
Contributors: Ebrahimi, Mohammadreza; Pacheco, Jason; Li, Weifeng; Hu, James Lee; Chen, Hsinchun
Source: Self-asserted source
Jason Pacheco

How probabilistic electricity demand forecasts can expedite universal access to clean and reliable electricity

Energy for Economic Growth
2021 | Journal article
Contributors: Lee, Stephen J; Suri, Dhruv; Somani, Priyanshi; Dean, Christopher L; Pacheco, Jason; Stoner, Robert; Perez-Arriaga, I; Fisher III, JW; Taneja, Jay
Source: Self-asserted source
Jason Pacheco

Lightweight Data Fusion with Conjugate Mappings

arXiv preprint arXiv:2011.10607
2020 | Journal article
Contributors: Dean, Christopher L; Lee, Stephen J; Pacheco, Jason; Fisher III, John W
Source: Self-asserted source
Jason Pacheco

Nonparametric object and parts modeling with lie group dynamics

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2020 | Conference paper
Contributors: Hayden, David S; Pacheco, Jason; Fisher, John W
Source: Self-asserted source
Jason Pacheco

Sequential bayesian experimental design with variable cost structure

Advances in Neural Information Processing Systems
2020 | Journal article
Contributors: Zheng, Sue; Hayden, David; Pacheco, Jason; Fisher III, John W
Source: Self-asserted source
Jason Pacheco

How vision governs the collective behaviour of dense cycling pelotons

Journal of the Royal Society Interface
2019 | Journal article
Contributors: Belden, Jesse; Mansoor, Mohammad M; Hellum, A; Rahman, SR; Meyer, Andrew; Pease, C; Pacheco, J; Koziol, Scott; Truscott, Tadd T
Source: Self-asserted source
Jason Pacheco

Variational information planning for sequential decision making

The 22nd International Conference on Artificial Intelligence and Statistics
2019 | Conference paper
Contributors: Pacheco, Jason; Fisher, John
Source: Self-asserted source
Jason Pacheco

A robust approach to sequential information theoretic planning

International Conference on Machine Learning
2018 | Conference paper
Contributors: Zheng, Sue; Pacheco, Jason; Fisher, John
Source: Self-asserted source
Jason Pacheco

Multiscale semi-markov dynamics for intracortical brain-computer interfaces

Advances in Neural Information Processing Systems
2017 | Journal article
Contributors: Milstein, Daniel; Pacheco, Jason; Hochberg, Leigh; Simeral, John D; Jarosiewicz, Beata; Sudderth, Erik
Source: Self-asserted source
Jason Pacheco

Proteins, particles, and pseudo-max-marginals: a submodular approach

International Conference on Machine Learning
2015 | Conference paper
Contributors: Pacheco, Jason; Sudderth, Erik
Source: Self-asserted source
Jason Pacheco

Preserving modes and messages via diverse particle selection

International Conference on Machine Learning
2014 | Conference paper
Contributors: Pacheco, Jason; Zuffi, Silvia; Black, Michael; Sudderth, Erik
Source: Self-asserted source
Jason Pacheco

Improved variational inference for tracking in clutter

2012 IEEE Statistical Signal Processing Workshop (SSP)
2012 | Conference paper
Contributors: Pacheco, Jason L; Sudderth, Erik B
Source: Self-asserted source
Jason Pacheco

Minimization of Continuous Bethe Approximations: A Positive Variation.

NIPS
2012 | Conference paper
Contributors: Pacheco, Jason L; Sudderth, Erik B
Source: Self-asserted source
Jason Pacheco

Max-product particle belief propagation

2011 | Dissertation or Thesis
Contributors: Kothapa, Rajkumar; Pacheco, Jason; Sudderth, Erik B
Source: Self-asserted source
Jason Pacheco

Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets

14th International Conference on Information Fusion
2011 | Conference paper
Contributors: Hempel, Christian G; Luginbuhl, Tod; Pacheco, Jason
Source: Self-asserted source
Jason Pacheco

Performance analysis of the probabilistic multi-hypothesis tracking algorithm on the SEABAR data sets

2009 12th International Conference on Information Fusion
2009 | Conference paper
Contributors: Hempel, Christian G; Pacheco, Jason
Source: Self-asserted source
Jason Pacheco
How many people are using ORCID?