Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printingby Indu Kant Deo, Youngsoo…
Learning Symmetries via Weight-Sharing with Doubly Stochastic Tensorsby Putri A. van der Linden, Alejandro García-Castellanos,…
Nonlinear Operator Learning Using Energy Minimization and MLPsby Mats G. Larson, Carl Lundholm, Anna PerssonFirst…
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Factsby Jiahai Feng, Stuart Russell, Jacob…
Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalizationby Tian Qin, Naomi Saphra, David…
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasksby Juan Rodriguez,…
SWEPO: Simultaneous Weighted Preference Optimization for Group Contrastive Alignmentby Taneesh Gupta, Rahul Madhavan, Xuchao Zhang,…
One Communication Round is All It Needs for Federated Fine-Tuning Foundation Modelsby Ziyao Wang, Bowei…
Disentangled Representation Learning for Causal Inference with Instrumentsby Debo Cheng, Jiuyong Li, Lin Liu, Ziqi…
Improving LLM Group Fairness on Tabular Data via In-Context Learningby Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana…