Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigationby Marvin Schmitt,…
Ethical considerations of use of hold-out sets in clinical prediction model managementby Louis Chislett, Louis…
Topological Neural Networks go Persistent, Equivariant, and Continuousby Yogesh Verma, Amauri H Souza, Vikas GargFirst…
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularizationby Yihang Chen, Fanghui Liu, Taiji Suzuki,…
The Impossibility of Fair LLMsby Jacy Anthis, Kristian Lum, Michael Ekstrand, Avi Feller, Alexander D'Amour,…
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)by Chenhao Si, Ming YanFirst submitted to arxiv…
Challenges and Considerations in the Evaluation of Bayesian Causal Discoveryby Amir Mohammad Karimi Mamaghan, Panagiotis…
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencodersby Josuan Calderon, Gordon J.…
Bayesian WeakS-to-Strong from Text Classification to Generationby Ziyun Cui, Ziyang Zhang, Guangzhi Sun, Wen Wu,…
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Needby Martin…