generative modeling

Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024 Align Your Steps: Optimizing Sampling Schedules in Diffusion Models ICML 2024 A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024 Base Models for Parabolic Partial Differential Equations UAI 2024 DreamLLM: Synergistic Multimodal Comprehension and Creation ICLR 2024 DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks NeurIPS 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Fixed Point Diffusion Models CVPR 2024 Flow Matching on General Geometries ICLR 2024 Gaussian Interpolation Flows JMLR 2024 Generative Modeling with Phase Stochastic Bridge ICLR 2024 Ghost on the Shell: An Expressive Representation of General 3D Shapes ICLR 2024 Infinite-Dimensional Diffusion Models JMLR 2024 Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics ICML 2024 Latent Space Editing in Transformer-Based Flow Matching AAAI 2024 Learning the Infinitesimal Generator of Stochastic Diffusion Processes NeurIPS 2024 Molecule Design by Latent Prompt Transformer NeurIPS 2024 Motion Diversification Networks CVPR 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step NeurIPS 2024 Personalized Federated Learning via Feature Distribution Adaptation NeurIPS 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 StrWAEs to Invariant Representations ICML 2024 Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings NeurIPS 2024 Towards More Unified In-context Visual Understanding CVPR 2024