Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vectorby Soyed…
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Seriesby…
Building a temperature forecasting model for the city with the regression neural network (RNN)by Nguyen…
Phase Transitions in the Output Distribution of Large Language Modelsby Julian Arnold, Flemming Holtorf, Frank…
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspectiveby Akiyoshi Tomihari, Issei SatoFirst submitted…
Bayesian Inference with Deep Weakly Nonlinear Networksby Boris Hanin, Alexander ZlokapaFirst submitted to arxiv on:…
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensemblesby…
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximationsby Conor Hassan, Joshua J Bon,…
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontierby Aristeidis Tsaris, Chengming Zhang,…
On the Convexity and Reliability of the Bethe Free Energy Approximationby Harald Leisenberger, Christian Knoll,…