Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms.
CoRR, February, 2025
Optimal starting point for time series forecasting.
Expert Syst. Appl., 2025
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework.
CoRR, 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework.
CoRR, 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Understanding the Generalization Benefits of Late Learning Rate Decay.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Statistical Spatially Inhomogeneous Diffusion Inference.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Infinite forecast combinations based on Dirichlet process.
Proceedings of the IEEE International Conference on Data Mining, 2023
High-dimensional density estimation with tensorizing flow.
CoRR, 2022
Hermite spectral method for Fokker-Planck-Landau equation modeling collisional plasma.
J. Comput. Phys., 2021
A semigroup method for high dimensional committor functions based on neural network.
Proceedings of the Mathematical and Scientific Machine Learning, 2021
Solving for high dimensional committor functions using neural network with online approximation to derivatives.
CoRR, 2020