SEA: State-Exchange Attention for High-Fidelity Physics Based Transformersby Parsa Esmati, Amirhossein Dadashzadeh, Vahid Goodarzi, Nicolas…
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Predictionby…
FedMSE: Federated learning for IoT network intrusion detectionby Van Tuan Nguyen, Razvan BeuranFirst submitted to…
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Orderingby Al Zadid Sultan…
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifoldsby Xingzhi…
The Persian Rug: solving toy models of superposition using large-scale symmetriesby Aditya Cowsik, Kfir Dolev,…
Federated Learning framework for LoRaWAN-enabled IIoT communication: A case studyby Oscar Torres Sanchez, Guilherme Borges,…
Analyzing (In)Abilities of SAEs via Formal Languagesby Abhinav Menon, Manish Shrivastava, David Krueger, Ekdeep Singh…
Graph Masked Autoencoder for Spatio-Temporal Graph Learningby Qianru Zhang, Haixin Wang, Siu-Ming Yiu, Hongzhi YinFirst…
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learningby Etai Littwin, Vimal Thilak, Anand…