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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Sequential Predictive Two-Sample and Independence Testing NIPS 2023
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023
Human spatiotemporal pattern learning as probabilistic program synthesis NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NIPS 2023
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models ICCV 2023
Benchmarking Visual Localization for Autonomous Navigation WACV 2023
VeCare: Statistical Acoustic Sensing for Automotive In-Cabin Monitoring NSDI 2023
Simultaneous Learning of Contact and Continuous Dynamics CORL 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CORL 2023
State and parameter learning with PARIS particle Gibbs ICML 2023
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NIPS 2023
Entropy-based Training Methods for Scalable Neural Implicit Samplers NIPS 2023
Hawkes Process Based on Controlled Differential Equations IJCAI 2023
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition IJCAI 2023
On Learning Rates and Schrödinger Operators JMLR 2023
Policy Evaluation in Distributional LQR L4DC 2023
SONGs: Self-Organizing Neural Graphs WACV 2023
Overlap-Guided Gaussian Mixture Models for Point Cloud Registration WACV 2023
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning CVPR 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023