Showing 1–20 of 65 results
/ Date/ Name
Dec 22, 2023Semidefinite Relaxations of the Gromov-Wasserstein DistanceMay 29, 2022A Conditional Randomization Test for Sparse Logistic Regression in High-DimensionOct 2, 2025The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language ModelsOct 11, 2025Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural NetworksJan 27, 2025Distributional Surgery for Language Model ActivationsFeb 10, 2025Task-driven Layerwise Additive Activation InterventionDec 27, 2023Bellman Optimal Stepsize Straightening of Flow-Matching ModelsJun 4, 2024Generative Conditional Distributions by Neural (Entropic) Optimal TransportOct 21, 2021An Empirical Study on GANs with Margin Cosine Loss and Relativistic DiscriminatorFeb 2, 2023Conditional expectation with regularization for missing data imputationOct 9, 2023A Generalization Bound of Deep Neural Networks for Dependent DataMay 10, 2023Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methodsJul 13, 2024Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin GeneratorFeb 20, 2025Triply Laplacian Scale Mixture Modeling for Seismic Data Noise SuppressionFeb 28, 2013On the exponential decay of Laplacian eigenfunctions in planar domains with branchesNov 13, 2025Reinforcing Trustworthiness in Multimodal Emotional Support SystemsNov 27, 2025UNION: A Lightweight Target Representation for Efficient Zero-Shot Image-Guided Retrieval with Optional Textual QueriesNov 27, 2025FIGROTD: A Friendly-to-Handle Dataset for Image Guided Retrieval with Optional TextSep 23, 2020An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT ImagesFeb 4, 2024CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition