A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases
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ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
arXiv:2506.14832v1 Announce Type: cross Abstract: In contemporary architectural design, the growing complexity and diversity of design demands have made generative…
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
arXiv:2505.12705v2 Announce Type: replace-cross Abstract: We introduce DreamGen, a simple yet highly effective 4-stage pipeline for training robot policies that…
AIn’t Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
arXiv:2506.14634v2 Announce Type: replace-cross Abstract: The recent development and wider accessibility of LLMs have spurred discussions about how they can…
Over-squashing in Spatiotemporal Graph Neural Networks
arXiv:2506.15507v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) have achieved remarkable success across various domains. However, recent theoretical advances…
Pixel-level Certified Explanations via Randomized Smoothing
arXiv:2506.15499v1 Announce Type: cross Abstract: Post-hoc attribution methods aim to explain deep learning predictions by highlighting influential input pixels. However,…
sHGCN: Simplified hyperbolic graph convolutional neural networks
arXiv:2506.14438v1 Announce Type: cross Abstract: Hyperbolic geometry has emerged as a powerful tool for modeling complex, structured data, particularly where…