generative modeling

Scalable Diffusion Models with Transformers ICCV 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023 Star-Shaped Denoising Diffusion Probabilistic Models NeurIPS 2023 Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023 Structure by Architecture: Structured Representations without Regularization ICLR 2023 SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics NeurIPS 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NeurIPS 2023 The Schrödinger Bridge between Gaussian Measures has a Closed Form AISTATS 2023 Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction UAI 2023 Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models NeurIPS 2023 Universal Approximation Property of Invertible Neural Networks JMLR 2023 A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce AAAI 2022 Differentially Private Normalizing Flows for Synthetic Tabular Data Generation AAAI 2022 From data to functa: Your data point is a function and you can treat it like one ICML 2022 Implicit Neural Representations with Levels-of-Experts NeurIPS 2022 Latent Diffusion Energy-Based Model for Interpretable Text Modelling ICML 2022 Learning Manifold Dimensions with Conditional Variational Autoencoders NeurIPS 2022 Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022 Marginal Tail-Adaptive Normalizing Flows ICML 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022 Neural PCA for Flow-Based Representation Learning IJCAI 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models NeurIPS 2022 Progressive Distillation for Fast Sampling of Diffusion Models ICLR 2022 Robust and Scalable SDE Learning: A Functional Perspective ICLR 2022 Semantic uncertainty intervals for disentangled latent spaces NeurIPS 2022