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cs.LG2026
Representing short-term movement to reveal animal identity and learning progress
Ping Zhang, Quang-Huy Nguyen, Yingtie Lei +5
How learning progresses over time and varies across individuals is a longstanding question in cognitive and behavioral science. However, a major challenge is identifying observable…
cs.LG2026
Ontic state recovery through prediction
Ping Zhang, Quang-Huy Nguyen, Yingtie Lei +1
We encounter a system through its responses, yet its state concerns how the system is. Predicting further responses promises knowledge beyond what is immediately observed. What tha…
cs.LG2026
Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
Quang-Huy Nguyen, Jiaqi Wang, Wei-Shinn Ku
Federated learning (FL) faces challenges in uncertainty quantification (UQ). Without reliable UQ, FL systems risk deploying overconfident models at under-resourced agents, leading…