From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting
Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2
The paper proposes a model‑agnostic asymmetric loss function (APAL) that penalizes under‑prediction and emphasizes peak regions to improve forecasting of rare demand spikes, and in…
cs.LG2026
Q-Net: Queue Length Estimation via Kalman-based Neural Networks
Ting Gao, Elvin Isufi, Winnie Daamen +2
Estimating queue lengths at signalized intersections is a long-standing challenge in traffic management. Partial observability of vehicle flows complicates this task despite the av…
cs.LG2026
Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
Ting Gao, Stavros Orfanoudakis, Nan Lin +3
Balancing policy expressiveness with the exploration-exploitation trade-off is a core challenge in online Reinforcement Learning (RL). While Stochastic Differential Equation (SDE)-…