TP8a: Adaptive Sensing and Distributed Control
Tue, 28 Oct, 13:30 - 15:10 PT (UTC -7)
Location: Merrill Hall
Session Type: Poster
Track: Adaptive Systems, Machine Learning, and Data Analytics

TP8a.1: Action Selection Methods to Explore Spectrum Sharing Environments Using Double Q-learning-While-Tracking
Abigail Eastman, Antonia Papandreou-Suppappola, Arizona State University, United States

TP8a.2: Emitter RF Fingerprint Identification using Complex-Valued Neural Networks
Katri Haapalinna, Maarit Melvasalo, Visa Koivunen, Aalto University, Finland

TP8a.3: Multichannel Sphericity Testing for Distributed Detection
Brayden Look, Louis Scharf, Haonan Wang, Colorado State University, United States

TP8a.4: Experimental evaluation of model recovery techniques at low sampling rate
Ayan Banerjee, Sandeep Gupta, Arizona State University, United States

TP8a.5: Time-Varying Optimization for Streaming Data Via Temporal Weighting
Muhammad Faraz Ul Abrar, Nicolò Michelusi, Arizona State University, United States; Erik G. Larsson, Linköping University, Sweden

TP8a.6: Feature-Based Learning for Computationally Efficient Estimation in High-Frequency Time-Varying Spectrum-Sharing Environments
Pinjia Zhang, Antonia Suppappola, Chaitali Chakrabarti, Arizona State University, United States

TP8a.7: Multi-Agent Cognitive Synthetic Aperture Radar
Bariscan Yonel, University at Albany, United States; Eric Mason, Hawkeye 360, United States

TP8a.8: Refining Search Spaces with Gradient-Guided Sensor Activation
Kaan Buyukkalayci, Xinlin Li, Christina Fragouli, University of California, Los Angeles, United States; Bhaskar Krishnamachari, University of Southern California, United States; Gunjan Verma, DEVCOM Army Research Laboratory, United States

TP8a.9: Quantile Randomized Kaczmarz with Time-Varying Noise in Signal
Emeric Battaglia, Anna Ma, University of California, Irvine, United States

TP8a.10: Linear Regression with Gaussian Model Uncertainty and its Applications to SIMO Detection
Shaohan Wu, North Carolina State University, United States

TP8a.11: Discovering Sparse Recovery Algorithms Using Neural Architecture Search
Patrick Yubeaton, Sarthak Gupta, New York University, United States; M. Salman Asif, University of California Riverside, United States; Chinmay Hegde, New York University, United States

TP8a.12: Safe Policy Learning in Online Reinforcement Learning Using Augmented PPO and CMDPs for Robot Navigation
Zhongna Zhou, K. C. Ho, University of Missouri, United States; Zhao Sun, Trevor Tran, Hampton University, United States

TP8a.13: A First-order Generative Bilevel Optimization Framework for Diffusion Models
Quan Xiao, Rensselaer Polytechnic Institute, United States; Hui Yuan, Princeton University, United States; A F M Saif, Rensselaer Polytechnic Institute, United States; Gaowen Liu, Ramana Kompella, Cisco Research, United States; Mengdi Wang, Princeton University, United States; Tianyi Chen, Rensselaer Polytechnic Institute, United States