In-Context Symbolic Regression: Leveraging Large Language Models for Function Discoveryby Matteo Merler, Katsiaryna Haitsiukevich, Nicola…
Learning Mixtures of Gaussians Using Diffusion Modelsby Khashayar Gatmiry, Jonathan Kelner, Holden LeeFirst submitted to…
Reduced-Rank Multi-objective Policy Learning and Optimizationby Ezinne Nwankwo, Michael I. Jordan, Angela ZhouFirst submitted to…
Learning Governing Equations of Unobserved States in Dynamical Systemsby Gevik Grigorian, Sandip V. George, Simon…
LLM-SR: Scientific Equation Discovery via Programming with Large Language Modelsby Parshin Shojaee, Kazem Meidani, Shashank…
Cauchy-Schwarz Divergence Information Bottleneck for Regressionby Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, Jose…
Implicit Generative Prior for Bayesian Neural Networksby Yijia Liu, Xiao WangFirst submitted to arxiv on:…
Machine Learning based prediction of Vanadium Redox Flow Battery temperature rise under different charge-discharge conditionsby…
Conformal Prediction with Learned Featuresby Shayan Kiyani, George Pappas, Hamed HassaniFirst submitted to arxiv on:…
On uncertainty-penalized Bayesian information criterionby Pongpisit Thanasutives, Ken-ichi FukuiFirst submitted to arxiv on: 23 Apr…