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ORCIDJuan Pablo Muñoz
Person information
- affiliation: Intel Corporation
- affiliation (former): City University of New York, USA
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Journal Articles
- 2019
[j3]Carlos Jaramillo
, Liang Yang, J. Pablo Muñoz, Yuichi Taguchi, Jizhong Xiao:
Visual odometry with a single-camera stereo omnidirectional system. Mach. Vis. Appl. 30(7-8): 1145-1155 (2019)- [j2]Bing Li, Juan Pablo Muñoz, Xuejian Rong, Qingtian Chen, Jizhong Xiao, Yingli Tian, Aries Arditi, Mohammed Yousuf:
Vision-Based Mobile Indoor Assistive Navigation Aid for Blind People. IEEE Trans. Mob. Comput. 18(3): 702-714 (2019) - 2018
- [j1]Juan Pablo Muñoz, Mario E. Magaña, Eduardo Cotilla Sanchez:
Adaptive master-slave unscented Kalman filter for grid voltage frequency estimation. IET Signal Process. 12(4): 496-505 (2018)
Conference and Workshop Papers
- 2024
- [c20]Juan Pablo Muñoz, Yi Zheng, Nilesh Jain:
EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks. LREC/COLING 2024: 5596-5608 - [c19]Sixing Yu, Juan Pablo Muñoz, Ali Jannesari:
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING 2024: 7174-7184 - [c18]Juan Pablo Muñoz, Jinjie Yuan, Yi Zheng, Nilesh Jain:
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models. LREC/COLING 2024: 10760-10776 - 2023
- [c17]Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops 2023: 36-43 - 2022
- [c16]Juan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain:
Automated Super-Network Generation for Scalable Neural Architecture Search. AutoML 2022: 5/1-15 - [c15]Yash Akhauri, Juan Pablo Muñoz, Nilesh Jain, Ravi Iyer:
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. NeurIPS 2022 - 2021
- [c14]Fanny Nina Paravecino, J. Pablo Munoz:
Introduction to the Minitrack on Systems and Applications of Video Analytics. HICSS 2021: 1-2 - 2020
- [c13]Fanny Nina Paravecino, J. Pablo Munoz:
Introduction to the Minitrack on Systems and Applications of Video Analytics. HICSS 2020: 1-2 - 2018
- [c12]J. Pablo Munoz, Rebecca Boger, Scott Dexter, Russanne Low, Justin Li:
Image Recognition of Disease-Carrying Insects: A System for Combating Infectious Diseases Using Image Classification Techniques and Citizen Science. HICSS 2018: 1-10 - 2016
- [c11]Bing Li, J. Pablo Muñoz, Xuejian Rong, Jizhong Xiao, Yingli Tian, Aries Arditi:
ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind. ECCV Workshops (2) 2016: 448-462 - [c10]J. Pablo Munoz, Bing Li, Xuejian Rong, Jizhong Xiao, Yingli Tian, Aries Arditi:
Demo: Assisting Visually Impaired People Navigate Indoors. IJCAI 2016: 4260-4261 - [c9]Xuejian Rong, Bing Li, J. Pablo Muñoz, Jizhong Xiao, Aries Arditi, Yingli Tian:
Guided Text Spotting for Assistive Blind Navigation in Unfamiliar Indoor Environments. ISVC (2) 2016: 11-22 - 2015
- [c8]Bing Li, Xiaochen Zhang, J. Pablo Munoz, Jizhong Xiao, Xuejian Rong, Yingli Tian:
Assisting blind people to avoid obstacles: An wearable obstacle stereo feedback system based on 3D detection. ROBIO 2015: 2307-2311 - [c7]Xiaochen Zhang, Bing Li, Samleo L. Joseph, Jizhong Xiao, Yi Sun, Yingli Tian, J. Pablo Munoz, Chucai Yi:
A SLAM Based Semantic Indoor Navigation System for Visually Impaired Users. SMC 2015: 1458-1463 - 2012
- [c6]Elizabeth Sklar, Simon Parsons, Susan L. Epstein, Arif Tuna Ozgelen, Juan Pablo Muñoz, Farah Abbasi, Eric Schneider, Michael Costantino:
Learning to Avoid Collisions. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - 2011
- [c5]Juan Pablo Muñoz, Arif Tuna Ozgelen, Elizabeth Sklar:
Learning from Demonstration in Spatial Exploration. AAAI 2011: 1878-1879 - [c4]Arif Tuna Ozgelen, Michael Costantino, Adiba Ishak, Moses Kingston, Diquan Moore, Samuel Sanchez, Juan Pablo Muñoz, Simon Parsons, Elizabeth Sklar:
Approaches to Multi-Robot Exploration and Localization. AAAI 2011: 1880-1881 - [c3]Elizabeth Sklar, Susan L. Epstein, Simon Parsons, Arif Tuna Ozgelen, Juan Pablo Muñoz, Joel Gonzalez:
A Framework in which Robots and Humans Help Each Other. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration 2011 - [c2]Elizabeth Sklar, Arif Tuna Ozgelen, Juan Pablo Muñoz, Joel Gonzalez, Mark Manashirov, Susan L. Epstein, Simon Parsons:
Designing the HRTeam Framework: Lessons Learned from a Rough-and-Ready Human/Multi-Robot Team. AAMAS Workshops 2011: 232-251 - 2010
- [c1]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:
Developing a Framework for Team-Based Robotics Research. Enabling Intelligence through Middleware 2010
Informal and Other Publications
- 2024
- [i13]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:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024) - [i12]J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain:
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search. CoRR abs/2404.10934 (2024) - [i11]Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari:
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning. CoRR abs/2404.15182 (2024) - 2023
- [i10]Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR abs/2305.11414 (2023) - [i9]Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR abs/2310.00247 (2023) - [i8]Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari:
LEFL: Low Entropy Client Sampling in Federated Learning. CoRR abs/2312.17430 (2023) - 2022
- [i7]Anthony Sarah, Daniel Cummings, Sharath Nittur Sridhar, Sairam Sundaresan, Maciej Szankin, Tristan Webb, J. Pablo Munoz:
A Hardware-Aware System for Accelerating Deep Neural Network Optimization. CoRR abs/2202.12954 (2022) - [i6]Daniel Cummings, Anthony Sarah, Sharath Nittur Sridhar, Maciej Szankin, Juan Pablo Muñoz, Sairam Sundaresan:
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities. CoRR abs/2205.10358 (2022) - [i5]Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer:
Evolving Zero Cost Proxies For Neural Architecture Scoring. CoRR abs/2209.07413 (2022) - [i4]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR abs/2211.05716 (2022) - 2021
- [i3]Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain:
RHNAS: Realizable Hardware and Neural Architecture Search. CoRR abs/2106.09180 (2021) - [i2]J. Pablo Muñoz, Nikolay Lyalyushkin, Yash Akhauri, Anastasia Senina, Alexander Kozlov, Nilesh Jain:
Enabling NAS with Automated Super-Network Generation. CoRR abs/2112.10878 (2021) - 2020
- [i1]Juan Pablo Muñoz, Scott Dexter:
Improving Place Recognition Using Dynamic Object Detection. CoRR abs/2002.04698 (2020)
Coauthor Index
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