Title |
|---|
 Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete DataJournal of Mathematical Imaging and Vision (JMIV), 2024 |
 Deep Learning With DAGsSocial Science Research Network (SSRN), 2024 |
 Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingInternational Conference on Learning Representations (ICLR), 2023 |
 Mixed Variational Flows for Discrete VariablesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Anomaly Detection with Variance Stabilized Density EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2023 |
 One-Line-of-Code Data Mollification Improves Optimization of
Likelihood-based Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 |
 Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsInternational Conference on Machine Learning (ICML), 2023 |
 Autoregressive Conditional Neural ProcessesInternational Conference on Learning Representations (ICLR), 2023 |
 Diffusing Gaussian Mixtures for Generating Categorical DataAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Consistency ModelsInternational Conference on Machine Learning (ICML), 2023 |
 LU-Net: Invertible Neural Networks Based on Matrix FactorizationIEEE International Joint Conference on Neural Network (IJCNN), 2023 |
 Neural Graphical ModelsEuropean Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU), 2022 |
 First Hitting Diffusion Models for Generating Manifold, Graph and
Categorical DataNeural Information Processing Systems (NeurIPS), 2022 |
 Neural PCA for Flow-Based Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Shen Li Bryan Hooi |
 Neural Inverse Transform SamplerInternational Conference on Machine Learning (ICML), 2022 |
 Flowification: Everything is a Normalizing FlowNeural Information Processing Systems (NeurIPS), 2022 |
 AutoSDF: Shape Priors for 3D Completion, Reconstruction and GenerationComputer Vision and Pattern Recognition (CVPR), 2022 |
 Semi-Discrete Normalizing Flows through Differentiable TessellationNeural Information Processing Systems (NeurIPS), 2022 |
 Multivariate Quantile Function ForecasterInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 |
 An Introduction to Neural Data CompressionFoundations and Trends in Computer Graphics and Vision (Found. Trends Comput. Graph. Vis.), 2022 |
 Personalized Public Policy Analysis in Social Sciences using
Causal-Graphical Normalizing FlowsAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless
CompressionNeural Information Processing Systems (NeurIPS), 2021 |
 Insights from Generative Modeling for Neural Video CompressionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
