Showing 1–20 of 36 results
/ Date/ Name
Nov 20, 2023AMES: A Differentiable Embedding Space Selection Framework for Latent Graph InferenceMar 21, 2023Projections of Model Spaces for Latent Graph InferenceAug 1, 2025Mathematical Foundations of Geometric Deep LearningOct 30, 2021Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct FlowNov 26, 2021Latent Space based Memory Replay for Continual Learning in Artificial Neural NetworksJun 28, 2025Beyond Parallelism: Synergistic Computational Graph Effects in Multi-Head AttentionMar 21, 2026Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry CapsuleNov 26, 2022Latent Graph Inference using Product ManifoldsOct 29, 2024Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation LearningSep 24, 2022Graph Neural Network Expressivity and Meta-Learning for Molecular Property RegressionJun 30, 2021Convolutional Neural Network Models and Interpretability for the Anisotropic Reynolds Stress Tensor in Turbulent One-dimensional FlowsJul 7, 2025Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)Feb 5, 2024Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of ExpertsFeb 26, 2024Asymmetry in Low-Rank Adapters of Foundation ModelsAug 25, 2024Neural Spacetimes for DAG Representation LearningOct 15, 2025Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate DownscalingApr 4, 2026k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPSMar 17, 2023Aerothermodynamic Simulators for Rocket Design using Neural FieldsJun 17, 2022Sheaf Neural Networks with Connection LaplaciansJun 17, 2025Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters