TP8a1: Deep Learning, Bandits, and Applications
Tue, 27 Oct, 13:30 - 15:10 PT (UTC -7)
Location: Merrill Hall
Session Type: Poster
Session Chair: Panagiotis Markopoulos, University of Texas at San Antonio, United States
Track: Adaptive Systems, Machine Learning, and Data Analytics

TP8a1.1: Improved Multiplayer Bandit Algorithms for Bernoulli Rewards
Khang Nguyen, USC, United States; Ricardo Parada, William Chang, University of California, Riverside, United States

TP8a1.2: Depth- and Rank-Selective Multilinear Transformation Layers for Compact CNNs
Van Tien Nguyen, The University of Texas at San Antonio, United States; Mayur Dhanaraj, Amazon, United States; Panagiotis Markopoulos, The University of Texas at San Antonio, United States

TP8a1.3: ACTIVE SPEAKER DETECTION IN CROWDED COLLABORATIVE CLASSROOM ENVIRONMENTS
Sebastian Janampa, Marios Pattichis, The University of New Mexico, United States; Sylvia Celedon-Pattichis, The University of Texas at Austin, United States; Wenjing Shi, The University of New Mexico, United States

TP8a1.4: CrossLag: Predicting Major Dengue Outbreak Signals with Limited Data and Transformers
Ashwin Prabu, Nhat Thanh Tran, Jack Xin, Guofa Zhou, University of California, Irvine, United States

TP8a1.5: Entropy-aware Fine-grained Contextual Fusion for Multiple Autonomous Driving Conditions
Markus Flierl, Zhenghao Li, KTH Royal Institute of Technology, Sweden

TP8a1.6: Towards Universal Representation-Based Process Control
Jinmyeong Choi, Taesup Kim, Seoul National University, Republic of Korea; Artur Dubrawski, Carnegie Mellon University, United States

TP8a1.7: Unboxing the CNN: Mechanistic Interpretability and Inhibitory Logic in Time-Frequency Signal Classification
Thomas Kidd, Qi Cheng, Oklahoma State University, United States

TP8a1.8: Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry
Daphne Feng, University of California, Los Angeles, United States; Ricardo Parada, University of California, Riverside, United States; Lily Jiang, Sophia Yi, University of California Los Angeles, United States; William Chang, University of California, Los Angeles, United States

TP8a1.9: Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network
Ziqing Lu, University of Iowa, United States; Myung Cho, California State University, Northridge, United States; Qiutong Jin, University of California, Berkeley, United States; Weiyu Xu, University of Iowa, United States

TP8a1.10: Can Rich Embeddings Compensate for Model Simplicity? Exploring the Relationship Between Embedding Quality and Model Complexity
Cate Dunham, Worcester Polytechnic Institute, United States; Thomas Cao, DTRA RD-CBEI A&AS, United States; Chia-Wei Tsai, DTRA RD-CBEI S&T Manager, United States; Joshua Uzarski, DEVCOM Soldier Center, United States; Randy Paffenroth, Worcester Polytechnic Institute, United States

TP8a1.11: Coordinating the Unknown Lipschitz Constant in Multiplayer Bandits
Ricardo Parada, UC Riverside, United States; Chenzhang Zhao, William Chang, UCLA, United States

TP8a1.12: Ambiguity-Reduced Margin-Based Knowledge Distillation for Improved Calibration in Low-Capacity Models
Sarah Instenes, Cristinel Ababei, Marquette University, United States

TP8a1.13: Synthetic Pretraining for Neural UAV Trajectory Prediction from Direction-Only Measurements
Yoav Raytsfeld, Alon Kipnis, Reichman University, Israel

TP8a1.14: Hilbert-Scale Stability of Posterior Diffusion Priors for Ill-Posed Signal Recovery
Bahman Moraffah, Raha Moraffah, Worcester Polytechnic Instittue, United States

TP8a1.15: When is Quantized Training Effective? A Data-Aware Monitoring Approach
Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian, University of Illinois Chicago, United States