Summary of Dynamic Post-hoc Neural Ensemblers, by Sebastian Pineda Arango et al.
Dynamic Post-Hoc Neural Ensemblersby Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter,…
Dynamic Post-Hoc Neural Ensemblersby Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter,…
GAMformer: In-Context Learning for Generalized Additive Modelsby Andreas Mueller, Julien Siems, Harsha Nori, David Salinas,…
Watermarking Decision Tree Ensemblesby Stefano Calzavara, Lorenzo Cazzaro, Donald Gera, Salvatore OrlandoFirst submitted to arxiv…
Provable Weak-to-Strong Generalization via Benign Overfittingby David X. Wu, Anant SahaiFirst submitted to arxiv on:…
Radial Basis Operator Networksby Jason Kurz, Sean Oughton, Shitao LiuFirst submitted to arxiv on: 6…
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Trainingby Yahong YangFirst submitted to arxiv…
Latent Feature Mining for Predictive Model Enhancement with Large Language Modelsby Bingxuan Li, Pengyi Shi,…
An Attention-Based Algorithm for Gravity Adaptation Zone Calibrationby Chen YuFirst submitted to arxiv on: 6…
Improved Off-policy Reinforcement Learning in Biological Sequence Designby Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok…
Grokking at the Edge of Linear Separabilityby Alon Beck, Noam Levi, Yohai Bar-SinaiFirst submitted to…