Solving Differential Equations using Physics-Informed Deep Equilibrium Modelsby Bruno Machado Pacheco, Eduardo CamponogaraFirst submitted to…
Near-field Beam training for Extremely Large-scale MIMO Based on Deep Learningby Jiali Nie, Yuanhao Cui,…
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layersby Federico…
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigationby Marvin Schmitt,…
Graph Convolutional Branch and Boundby Lorenzo Sciandra, Roberto Esposito, Andrea Cesare Grosso, Laura Sacerdote, Cristina…
Nonlinear Transformations Against Unlearnable Datasetsby Thushari Hapuarachchi, Jing Lin, Kaiqi Xiong, Mohamed Rahouti, Gitte OstFirst…
Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Modelsby Kathrin Donandt, Karim Böttger, Dirk SöffkerFirst submitted…
Improved context-sensitive transformer model for inland vessel trajectory predictionby Kathrin Donandt, Karim Böttger, Dirk SöffkerFirst…
Synthetic Data Outliers: Navigating Identity Disclosureby Carolina Trindade, Luís Antunes, Tânia Carvalho, Nuno MonizFirst submitted…
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problemsby Vedant Khandelwal, Amit Sheth,…