DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spacesby Jacob F.…
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressionby Junliang Lyu, Yixuan…
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuningby Hong-Wei…
Buzz to Broadcast: Predicting Sports Viewership Using Social Media Engagementby Anakin TrotterFirst submitted to arxiv…
Data-Driven Transfer Learning Framework for Estimating Turning Movement Countsby Xiaobo Ma, Hyunsoo Noh, Ryan Hatch,…
Infinite-dimensional next-generation reservoir computingby Lyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo OrtegaFirst submitted to arxiv…
Distribution free uncertainty quantification in neuroscience-inspired deep operatorsby Shailesh Garg, Souvik ChakrabortyFirst submitted to arxiv…
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learningby Isha Jain, Shailesh Garg,…
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learningby Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar,…
FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learningby Prajwal Koirala,…