-
5:40 PM
Cone-Constrained Neural Networks for Structured Learning and Control
-
5:41 PM
Imitation learning framework based on Fully Probabilistic Design
-
5:42 PM
Sampling series as a unified approximation framework for control and machine Learning
-
5:43 PM
Model Predictive Control and Machine Learning-Based Grid-Forming Inverters: The Combination of Control and Learning for Low-Inertia Power Systems
-
5:45 PM
Learning-Phase Stability in Actor-Critic Reinforcement Learning: Analysis and Stabilisation
-
5:46 PM
Stress Detection in the Workplace Using Digital Twin Technology and Multimodal Physiological Sensing
-
5:48 PM
Data-Driven Identification of Port-Hamiltonian DAE Systems by Gaussian Processes
-
5:49 PM
Decision-Focused Learning Meets Distributionally Robust Optimization: A Unified Framework for Sugar Beet Yield Maximization Under Epistemic Uncertainty
-
5:50 PM
Multi-Teacher GNN Knowledge Transfer for Kolmogorov-Arnold Networks
-
5:51 PM
Structural Constraints on Expressivity in Continuous-Depth Neural Networks
-
5:52 PM
Transcription of Czech administrative records written in Kurrent script into Latin script using machine learning, OCR, and AI
-
5:53 PM
Sparse Training of Neural Networks based on Multilevel Mirror Descent
-
5:54 PM
N-to-1 Knowledge Transfer in Reinforcement Learning via Adaptive Q-function Selection
