Stochastic Processes

Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023 Neural Diffusion Processes ICML 2023 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NeurIPS 2023 Neural Integro-Differential Equations AAAI 2023 Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics ICLR 2023 Neural Markov Jump Processes ICML 2023 Neural Processes with Stability NeurIPS 2023 Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023 Neural Sampling in Hierarchical Exponential-family Energy-based Models NeurIPS 2023 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation CVPR 2023 Non-adversarial training of Neural SDEs with signature kernel scores NeurIPS 2023 Nonconvex stochastic scaled gradient descent and generalized eigenvector problems UAI 2023 Non-exponential Reward Discounting in Reinforcement Learning AAAI 2023 Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023 Non-reversible Parallel Tempering for Deep Posterior Approximation AAAI 2023 Non-Stationary Bandits with Auto-Regressive Temporal Dependency NeurIPS 2023 No-Regret Linear Bandits beyond Realizability UAI 2023 Nyström M-Hilbert-Schmidt independence criterion UAI 2023 ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023 On a Class of Gibbs Sampling over Networks COLT 2023 On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization ICML 2023 One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding ICML 2023 On Learning Rates and Schrödinger Operators JMLR 2023