Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programmingby Xiaoran Cheng, Sen NaFirst submitted to arxiv…
Motion Forecasting via Model-Based Risk Minimizationby Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjoš, Denesh…
Revising the Structure of Recurrent Neural Networks to Eliminate Numerical Derivatives in Forming Physics Informed…
ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihoodby Ruoyu Wang, Jiachen Sun, Shaowei Hua, Quan FangFirst…
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulationby…
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classificationby Jesus Barreda, Ashley Gomez,…
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Databy Guangxuan Song, Dongmei Fu, Zhongwei…
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasksby Erik B. Terres-Escudero, Javier Del…
A Unified Contrastive Loss for Self-Trainingby Aurelien Gauffre, Julien Horvat, Massih-Reza AminiFirst submitted to arxiv…
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encodingby Ronald KatendeFirst submitted to arxiv…