Juan Pablo Muñoz

According to our database, Juan Pablo Muñoz authored at least 37 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning.

Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari

CoRR, 2024

The Landscape and Challenges of HPC Research and LLMs.

Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari

CoRR, 2024

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search.

J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Resource-Aware Heterogeneous Federated Learning with Specialized Local Models.

Sixing Yu, J. Pablo Muñoz, Ali Jannesari

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models.

Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models.

Sixing Yu, Juan Pablo Muñoz, Ali Jannesari

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks.

Juan Pablo Muñoz, Yi Zheng, Nilesh Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models.

Juan Pablo Muñoz, Jinjie Yuan, Yi Zheng, Nilesh Jain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

LEFL: Low Entropy Client Sampling in Federated Learning.

Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari

CoRR, 2023

Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning.

Sixing Yu, J. Pablo Muñoz, Ali Jannesari

CoRR, 2023

Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion.

Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search.

Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari

CoRR, 2022

Evolving Zero Cost Proxies For Neural Architecture Scoring.

Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer

CoRR, 2022

A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities.

Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Juan Pablo Muñoz, Sairam Sundaresan

CoRR, 2022

A Hardware-Aware System for Accelerating Deep Neural Network Optimization.

Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz

CoRR, 2022

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring.

Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automated Super-Network Generation for Scalable Neural Architecture Search.

Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Enabling NAS with Automated Super-Network Generation.

J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain

CoRR, 2021

RHNAS: Realizable Hardware and Neural Architecture Search.

Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain

CoRR, 2021

E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations.

Chaunte Lacewell, Nilesh A. Ahuja, J. Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

2020

Improving Place Recognition Using Dynamic Object Detection.

Juan Pablo Muñoz, Scott Dexter

CoRR, 2020

Introduction to the Minitrack on Systems and Applications of Video Analytics.

Fanny Nina Paravecino, J. Pablo Munoz

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Vision-Based Mobile Indoor Assistive Navigation Aid for Blind People.

Bing Li, Juan Pablo Muñoz, Xuejian Rong, Qingtian Chen, Jizhong Xiao, Yingli Tian, Aries Arditi, Mohammed Yousuf

IEEE Trans. Mob. Comput., 2019

Visual odometry with a single-camera stereo omnidirectional system.

Carlos Jaramillo, Liang Yang, J. Pablo Muñoz, Yuichi Taguchi, Jizhong Xiao

Mach. Vis. Appl., 2019

2018

Adaptive master-slave unscented Kalman filter for grid voltage frequency estimation.

Juan Pablo Muñoz, Mario E. Magaña, Eduardo Cotilla Sanchez

IET Signal Process., 2018

Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science.

J. Pablo Munoz, Rebecca Boger, Scott Dexter, Russanne Low, Justin Li

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2016

Guided Text Spotting for Assistive Blind Navigation in Unfamiliar Indoor Environments.

Xuejian Rong, Bing Li, J. Pablo Muñoz, Jizhong Xiao, Aries Arditi, Yingli Tian

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Demo: Assisting Visually Impaired People Navigate Indoors.

J. Pablo Munoz, Bing Li, Xuejian Rong, Jizhong Xiao, Yingli Tian, Aries Arditi

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind.

Bing Li, J. Pablo Muñoz, Xuejian Rong, Jizhong Xiao, Yingli Tian, Aries Arditi

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

A SLAM Based Semantic Indoor Navigation System for Visually Impaired Users.

Xiaochen Zhang, Bing Li, Samleo L. Joseph, Jizhong Xiao, Yi Sun, Yingli Tian, J. Pablo Munoz, Chucai Yi

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Assisting blind people to avoid obstacles: An wearable obstacle stereo feedback system based on 3D detection.

Bing Li, Xiaochen Zhang, J. Pablo Munoz, Jizhong Xiao, Xuejian Rong, Yingli Tian

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

2012

Learning to Avoid Collisions.

Elizabeth Sklar, Simon Parsons, Susan L. Epstein, Arif Tuna Ozgelen, Juan Pablo Muñoz, Farah Abbasi, Eric Schneider, Michael Costantino

Proceedings of the Robots Learning Interactively from Human Teachers, 2012

2011

Designing the HRTeam Framework: Lessons Learned from a Rough-and-Ready Human/Multi-Robot Team.

Elizabeth Sklar, Arif Tuna Ozgelen, Juan Pablo Muñoz, Joel Gonzalez, Mark Manashirov, Susan L. Epstein, Simon Parsons

Proceedings of the Advanced Agent Technology, 2011

A Framework in which Robots and Humans Help Each Other.

Elizabeth Sklar, Susan L. Epstein, Simon Parsons, Arif Tuna Ozgelen, Juan Pablo Muñoz, Joel Gonzalez

Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

Approaches to Multi-Robot Exploration and Localization.

Arif Tuna Ozgelen, Michael Costantino, Adiba Ishak, Moses Kingston, Diquan Moore, Samuel Sanchez, Juan Pablo Muñoz, Simon Parsons, Elizabeth Sklar

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Learning from Demonstration in Spatial Exploration.

Juan Pablo Muñoz, Arif Tuna Ozgelen, Elizabeth Sklar

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Developing a Framework for Team-Based Robotics Research.

Elizabeth Sklar, Simon Parsons, Susan L. Epstein, Arif Tuna Ozgelen, George Rabanca, Sam Anzaroot, Joel Gonzalez, Jesse Lopez, Mitch Lustig, Linda Ma, Mark Manashirov, Juan Pablo Muñoz, S. Bruno Salazar, Miriam Schwartz

Proceedings of the Enabling Intelligence through Middleware, 2010