Showing 21–40 of 61 results
/ Date/ Name
May 27, 2019Incidence Networks for Geometric Deep LearningOct 26, 2022Characterization Of Inpaint Residuals In Interferometric Measurements of the Epoch Of ReionizationNov 7, 2023Lie Point Symmetry and Physics Informed NetworksOct 2, 2024Sampling from Energy-based Policies using DiffusionJun 28, 2018Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a VectorDec 7, 2018Improved Knowledge Graph Embedding using Background Taxonomic InformationAug 9, 2020Deep Generative Models for Galaxy Image SimulationsMar 8, 2017CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens FindingMay 17, 2025Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPsOct 4, 2023Learning to Reach Goals via DiffusionMar 13, 2025On the Identifiability of Causal AbstractionsJun 25, 2025Diffusion Tree Sampling: Scalable inference-time alignment of diffusion modelsAug 10, 2025Parity Requires Unified Input Dependence and Negative Eigenvalues in SSMsJan 14, 2025Symmetry-Aware Generative Modeling through Learned CanonicalizationJun 12, 2021Equivariant Networks for Pixelized SpheresFeb 16, 2021Recovering the Wedge Modes Lost to 21-cm ForegroundsFeb 19, 2022Transformation Coding: Simple Objectives for Equivariant RepresentationsApr 14, 2022Galaxies and Halos on Graph Neural Networks: Deep Generative Modeling Scalar and Vector Quantities for Intrinsic AlignmentFeb 7, 2024E(3)-Equivariant Mesh Neural NetworksNov 11, 2022Equivariance with Learned Canonicalization Functions