 One-Step Diffusion Distillation via Deep Equilibrium ModelsNeural Information Processing Systems (NeurIPS), 2023 |
 Consistency Models for Scalable and Fast Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023 |
 Swallowing the Bitter Pill: Simplified Scalable Conformer GenerationInternational Conference on Machine Learning (ICML), 2023 |
 Stability-Informed Initialization of Neural Ordinary Differential
EquationsInternational Conference on Machine Learning (ICML), 2023 |
 SinSR: Diffusion-Based Image Super-Resolution in a Single StepComputer Vision and Pattern Recognition (CVPR), 2023 Yufei Wang Wenhan Yang Xinyuan Chen Yaohui Wang Lanqing Guo Lap-Pui Chau Ziwei Liu Yu Qiao Alex C. Kot Bihan Wen |
 Touring sampling with pushforward mapsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 |
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 Structured Transforms Across Spaces with Cost-Regularized Optimal
TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Energy-Calibrated VAE with Test Time Free LunchEuropean Conference on Computer Vision (ECCV), 2023 |
 Scaling Riemannian Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 |
 DiffEnc: Variational Diffusion with a Learned EncoderInternational Conference on Learning Representations (ICLR), 2023 |
 Bespoke Solvers for Generative Flow ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 Convergence of flow-based generative models via proximal gradient
descent in Wasserstein spaceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 |
 Free-form Flows: Make Any Architecture a Normalizing FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Generative Pre-training for Speech with Flow MatchingInternational Conference on Learning Representations (ICLR), 2023 |
 Learning to Sample BetterJournal of Statistical Mechanics: Theory and Experiment (J. Stat. Mech.), 2023 |
 Approximation properties of slice-matching operatorsSampling Theory, Signal Processing, and Data Analysis (TSPDA), 2023 |
 A Computational Framework for Solving Wasserstein Lagrangian FlowsInternational Conference on Machine Learning (ICML), 2023 |
 Neural Diffusion ModelsInternational Conference on Machine Learning (ICML), 2023 |
 Generative Modeling with Phase Stochastic BridgesInternational Conference on Learning Representations (ICLR), 2023 |
 Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion
ProcessesInternational Conference on Machine Learning (ICML), 2023 |
 Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and
Binding Site DesignInternational Conference on Machine Learning (ICML), 2023 |
 Unified speech and gesture synthesis using flow matchingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 |
 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian
InferenceInternational Conference on Machine Learning (ICML), 2023 |
 Stochastic interpolants with data-dependent couplingsInternational Conference on Machine Learning (ICML), 2023 |
 Analysis of learning a flow-based generative model from limited sample
complexityInternational Conference on Learning Representations (ICLR), 2023 |
 SE(3)-Stochastic Flow Matching for Protein Backbone GenerationInternational Conference on Learning Representations (ICLR), 2023 |
 Generalized Schrödinger Bridge MatchingInternational Conference on Learning Representations (ICLR), 2023 |
 Mirror Diffusion Models for Constrained and Watermarked GenerationNeural Information Processing Systems (NeurIPS), 2023 |
 On the Stability of Iterative Retraining of Generative Models on their
own DataInternational Conference on Learning Representations (ICLR), 2023 |
 ReFlow-TTS: A Rectified Flow Model for High-fidelity Text-to-SpeechIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 |
 Denoising Diffusion Bridge ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 Transformer-VQ: Linear-Time Transformers via Vector QuantizationInternational Conference on Learning Representations (ICLR), 2023 |
 Compositional Sculpting of Iterative Generative ProcessesNeural Information Processing Systems (NeurIPS), 2023 |
 Parallelizing non-linear sequential models over the sequence lengthInternational Conference on Learning Representations (ICLR), 2023 |
 Generating and Imputing Tabular Data via Diffusion and Flow-based
Gradient-Boosted TreesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
