Stochastic Processes

Low-resource grapheme-to-phoneme mapping with phonetically-conditioned transfer ACL 2023 MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation EMNLP 2023 Markovian Gaussian Process Variational Autoencoders ICML 2023 Massively parallel reweighted wake-sleep UAI 2023 Maximizing the Probability of Fixation in the Positional Voter Model AAAI 2023 MDPose: real-time multi-person pose estimation via mixture density model UAI 2023 Mean Payoff Optimization for Systems of Periodic Service and Maintenance IJCAI 2023 Measuring and Mitigating Local Instability in Deep Neural Networks ACL 2023 Memory-Based Dual Gaussian Processes for Sequential Learning ICML 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 Metropolis Sampling for Constrained Diffusion Models NeurIPS 2023 Mini-batching error and adaptive Langevin dynamics JMLR 2023 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling ICML 2023 Mixed Linear Regression via Approximate Message Passing AISTATS 2023 MixFlows: principled variational inference via mixed flows ICML 2023 Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion ICML 2023 Modeling the Impact of Policy Interventions for Sustainable Development IJCAI 2023 Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process ACL 2023 Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning CVPR 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection ICCV 2023 Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract) IJCAI 2023 Multi-Objective GFlowNets ICML 2023 Naive imputation implicitly regularizes high-dimensional linear models ICML 2023 NAS-X: Neural Adaptive Smoothing via Twisting NeurIPS 2023