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; et al. (Enabling Intelligence through Middleware, 2010)

Learning from Demonstration in Spatial Exploration. - Juan Pablo Muñoz; Arif Tuna Ozgelen; Elizabeth Sklar (AAAI, 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 (AAAI, 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 (AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 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 (AAMAS Workshops, 2011)

Learning to Avoid Collisions. - Elizabeth Sklar; Simon Parsons; Susan L. Epstein; Arif Tuna Ozgelen; Juan Pablo Muñoz; Farah Abbasi; Eric Schneider; Michael Costantino (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

Assisting blind people to avoid obstacles: An wearable obstacle stereo feedback system based on 3D detection. - Bing Li 008; Xiaochen Zhang; J. Pablo Munoz; Jizhong Xiao; Xuejian Rong; Yingli Tian (ROBIO, 2015)

A SLAM Based Semantic Indoor Navigation System for Visually Impaired Users. - Xiaochen Zhang; Bing Li 008; Samleo L. Joseph; Jizhong Xiao; Yi Sun 005; Yingli Tian; J. Pablo Munoz; Chucai Yi (SMC, 2015)

ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind. - Bing Li 008; J. Pablo Muñoz; Xuejian Rong; Jizhong Xiao; Yingli Tian; Aries Arditi (ECCV Workshops (2), 2016)

Demo: Assisting Visually Impaired People Navigate Indoors. - J. Pablo Munoz; Bing Li 008; Xuejian Rong; Jizhong Xiao; Yingli Tian; Aries Arditi (IJCAI, 2016)

Guided Text Spotting for Assistive Blind Navigation in Unfamiliar Indoor Environments. - Xuejian Rong; Bing Li 008; J. Pablo Muñoz; Jizhong Xiao; Aries Arditi; Yingli Tian (ISVC (2), 2016)

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 D. Dexter; Russanne Low; Justin Li (HICSS, 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)

Visual odometry with a single-camera stereo omnidirectional system. - Carlos Jaramillo; Liang Yang; J. Pablo Muñoz; Yuichi Taguchi; Jizhong Xiao (Mach. Vis. Appl., 2019)

Vision-Based Mobile Indoor Assistive Navigation Aid for Blind People. - Bing Li 008; Juan Pablo Muñoz; Xuejian Rong; Qingtian Chen; Jizhong Xiao; Yingli Tian; Aries Arditi; Mohammed Yousuf (IEEE Trans. Mob. Comput., 2019)

Introduction to the Minitrack on Systems and Applications of Video Analytics. - Fanny Nina Paravecino; J. Pablo Munoz (HICSS, 2020)

Improving Place Recognition Using Dynamic Object Detection. - Juan Pablo Muñoz; Scott D. Dexter (CoRR, 2020)

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 001 (NAS, 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 001; Nilesh Jain (CoRR, 2021)

Enabling NAS with Automated Super-Network Generation. - J. Pablo Muñoz; Nikolay Lyalyushkin; Yash Akhauri; Anastasia Senina; Alexander Kozlov; Nilesh Jain (CoRR, 2021)

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 (AutoML, 2022)

EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring. - Yash Akhauri; Juan Pablo Muñoz; Nilesh Jain; Ravi Iyer 001 (NeurIPS, 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)

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)

Evolving Zero Cost Proxies For Neural Architecture Scoring. - Yash Akhauri; J. Pablo Munoz; Nilesh Jain; Ravi Iyer 001 (CoRR, 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)

Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. - Duy Phuong Nguyen; Sixing Yu; J. Pablo Muñoz; Ali Jannesari (SC Workshops, 2023)

Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. - Sixing Yu; J. Pablo Muñoz; Ali Jannesari (CoRR, 2023)

LEFL: Low Entropy Client Sampling in Federated Learning. - Waqwoya Abebe; Juan Pablo Muñoz; Ali Jannesari (CoRR, 2023)

LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models. - Juan Pablo Muñoz; Jinjie Yuan; Yi Zheng; Nilesh Jain (LREC/COLING, 2024)

EFTNAS: Searching for Efficient Language Models in First-Order Weight-Reordered Super-Networks. - Juan Pablo Muñoz; Yi Zheng; Nilesh Jain (LREC/COLING, 2024)

Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. - Sixing Yu; Juan Pablo Muñoz; Ali Jannesari (LREC/COLING, 2024)

SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models. - Juan Pablo Muñoz; Jinjie Yuan; Nilesh Jain (EMNLP (Findings), 2024)

Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. - Sixing Yu; J. Pablo Muñoz; Ali Jannesari (Euro-Par (1), 2024)

Shears: Unstructured Sparsity with Neural Low-rank Adapter Search. - J. Pablo Muñoz; Jinjie Yuan; Nilesh Jain (NAACL (Industry Track), 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 001; et al. (CoRR, 2024)

FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning. - Duy Phuong Nguyen; J. Pablo Munoz; Ali Jannesari (CoRR, 2024)

Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models. - Juan Pablo Muñoz; Jinjie Yuan; Nilesh Jain (NAACL (Long Papers), 2025)

SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization. - Waqwoya Abebe; Sadegh Jafari; Sixing Yu; Akash Dutta; Jan Strube 001; Nathan R. Tallent; Luanzheng Guo; J. Pablo Muñoz; Ali Jannesari (CoRR, 2025)

MultiPruner: Balanced Structure Removal in Foundation Models. - J. Pablo Muñoz; Jinjie Yuan; Nilesh Jain (CoRR, 2025)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression. - J. Pablo Muñoz; Jinjie Yuan; Nilesh Jain (CoRR, 2025)

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. - Ahmed F. AbouElhamayed; Jordan Dotzel; Yash Akhauri; Chi-Chih Chang; Sameh Gobriel; J. Pablo Muñoz; Vui Seng Chua; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency. - Duy Phuong Nguyen; J. Pablo Munoz; Tanya Roosta; Ali Jannesari (CoRR, 2025)