Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecastingby Harshavardhan Kamarthi, Lingkai Kong,…
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Pointby Bokun Wang, Axel…
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsityby Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie…
MALT Powers Up Adversarial Attacksby Odelia Melamed, Gilad Yehudai, Adi ShamirFirst submitted to arxiv on:…
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fieldsby Shihao Shao,…
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco…
DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposingby Yingzhou Lu, Yaojun Hu, Chenhao LiFirst submitted to…
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Methodby Hilarie Sit, Brendan Keith,…
How to Boost Any Loss Functionby Richard Nock, Yishay MansourFirst submitted to arxiv on: 2…
Semantically Guided Representation Learning For Action Anticipationby Anxhelo Diko, Danilo Avola, Bardh Prenkaj, Federico Fontana,…