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Papers
Continuous time policy evaluation is easier with noisy dynamics
COLT 2026
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
AAAI 2026
Fine-Grained GRPO for Precise Preference Alignment in Flow Models
CVPR 2026
Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
UAI 2026
Nonparametric generative modeling for time series via Schrödinger bridge
JMLR 2026
PC-Flow: Preference Alignment in Flow Matching via Classifier
AAAI 2026
Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations
AAAI 2026
Residual Diffusion Bridge Model for Image Restoration
CVPR 2026
Robust SDE Parameter Estimation Under Missing Time Information Setting
AAAI 2026
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
UAI 2026
Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories
UAI 2026
Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent
JMLR 2026
Towards Identifiability of Interventional Stochastic Differential Equations
UAI 2026
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
ICLR 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces
CLeaR 2025
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
ICML 2025
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
ICLR 2025
Comprehensive Review of Neural Differential Equations for Time Series Analysis
IJCAI 2025
Conditioning diffusion models by explicit forward-backward bridging
AISTATS 2025
CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement
WACV 2025
Elucidating the Solution Space of Extended Reverse-Time SDE for Diffusion Models
WACV 2025
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
UAI 2025
Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models
ICLR 2025
Improved Sampling Algorithms for Lévy-Itô Diffusion Models
ICLR 2025
Learning Extremely High Density Crowds as Active Matters
CVPR 2025