Co-occurring keywords · papers mentioning both
Papers
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation
IJCAI 2024
SDEs for Minimax Optimization
AISTATS 2024
SGD vs GD: Rank Deficiency in Linear Networks
NeurIPS 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
NeurIPS 2024
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
ICML 2024
Statistical Spatially Inhomogeneous Diffusion Inference
AAAI 2024
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction
AAAI 2024
Stochastic Modified Equations and Dynamics of Dropout Algorithm
ICLR 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
JMLR 2024
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
NeurIPS 2024
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
ICLR 2024
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models
NeurIPS 2024
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
UAI 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
ICML 2024
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
ICLR 2024
Variational Gaussian Process Diffusion Processes
AISTATS 2024
Variational Inference for SDEs Driven by Fractional Noise
ICLR 2024
Action Matching: Learning Stochastic Dynamics from Samples
ICML 2023
A Flexible Diffusion Model
ICML 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
ICML 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
ICML 2023
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
NeurIPS 2023
An SDE for Modeling SAM: Theory and Insights
ICML 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
AAAI 2023
Denoising MCMC for Accelerating Diffusion-Based Generative Models
ICML 2023