Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applicationsby David…
Gated recurrent neural network with TPE Bayesian optimization for enhancing stock index prediction accuracyby Bivas…
Is Data Valuation Learnable and Interpretable?by Ou Wu, Weiyao Zhu, Mengyang LiFirst submitted to arxiv…
Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learningby Yinan Wang, M. Giselle Fernández-Godino, Nipun…
Continual Unsupervised Out-of-Distribution Detectionby Lars Doorenbos, Raphael Sznitman, Pablo Márquez-NeilaFirst submitted to arxiv on: 4…
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Predictionby Jangseop Park, Namwoo…
ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLUby Qi Qiu,…
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimizationby Sebastian Sanokowski, Sepp Hochreiter, Sebastian LehnerFirst…
Robust Classification by Coupling Data Mollification with Label Smoothingby Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer,…
Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numericsby…