Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networksby Kevin Ferguson, Andrew Gillman,…
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasetsby Tianjian Li, Haoran Xu, Weiting Tan,…
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategiesby Sijin Chen, Omar Hagrass, Jason…
A Probabilistic Perspective on Unlearning and Alignment for Large Language Modelsby Yan Scholten, Stephan Günnemann,…
Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentialsby August Y. Chen, Karthik SridharanFirst submitted to…
Distributed Learning with Discretely Observed Functional Databy Jiading Liu, Lei ShiFirst submitted to arxiv on:…
Explainable Earth Surface Forecasting under Extreme Eventsby Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel…
Calibrating Language Models with Adaptive Temperature Scalingby Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric…
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operatorsby…
CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecastingby Haobo Li, Zhaowei Wang, Jiachen…