Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuationby Lakshmideepakreddy Manda, Shaoru…
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structureby Haoyu Chu, Yuto Miyatake, Wenjun Cui,…
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Modelsby Xuewen Liu, Zhikai Li, Junrui…
A topological description of loss surfaces based on Betti Numbersby Maria Sofia Bucarelli, Giuseppe Alessio…
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysisby Liwen Zhang, Lianzhen Zhong, Fan Yang, Di…
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learningby Parvin Malekzadeh,…
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential…
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networksby Pouyan Sajadi,…
Ravnest: Decentralized Asynchronous Training on Heterogeneous Devicesby Anirudh Rajiv Menon, Unnikrishnan Menon, Kailash AhirwarFirst submitted…
An attempt to generate new bridge types from latent space of generative adversarial networkby Hongjun…