deep generative model

Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection AAAI 2026 ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026 A Geometric Framework for Understanding Memorization in Generative Models ICLR 2025 ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect AAAI 2025 Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints ICLR 2025 Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression UAI 2025 Deep Generative Model for Mechanical System Configuration Design AAAI 2025 Deep Generative Quantile Bayes AISTATS 2025 FeDCM: Federated Learning of Deep Causal Generative Models UAI 2025 Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space IJCAI 2025 Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs UAI 2025 Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class AAAI 2025 Towards Cost Sensitive Decision Making AISTATS 2025 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data ICLR 2024 Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NeurIPS 2024 Improving the Effectiveness of Deep Generative Data WACV 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges IJCAI 2024 Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 Toward the Identifiability of Comparative Deep Generative Models CLeaR 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 Would Deep Generative Models Amplify Bias in Future Models? CVPR 2024 A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets IJCAI 2023 A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023