Co-occurring keywords · papers mentioning both
Papers
Contrastive Sampling Chains in Diffusion Models
NeurIPS 2023
Reducing Discretization Error in the Frank-Wolfe Method
AISTATS 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023
On Numerical Integration in Neural Ordinary Differential Equations
ICML 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
ICML 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
NeurIPS 2022
Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting
ICCV 2021
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
ICLR 2019