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Papers
Detecting Emotional Dynamic Trajectories: An Evaluation Framework for Emotional Support in Language Models
AAAI 2026
Markovian Scale Prediction: A New Era of Visual Autoregressive Generation
CVPR 2026
Poisson–Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs
UAI 2026
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
JMLR 2025
Sample Complexity of Branch-length Estimation by Maximum Likelihood
ICML 2025
An Analysis of Tokenization: Transformers under Markov Data
NeurIPS 2024
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
ICLR 2024
Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
ICML 2024
Transformers on Markov data: Constant depth suffices
NeurIPS 2024
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
ICML 2023
Deep Stochastic Processes via Functional Markov Transition Operators
NeurIPS 2023
SONGs: Self-Organizing Neural Graphs
WACV 2023
Analysis of Stochastic Processes through Replay Buffers
ICML 2022
Conjugated Discrete Distributions for Distributional Reinforcement Learning
AAAI 2022
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification
CVPR 2022
Reconstruction on Trees and Low-Degree Polynomials
NeurIPS 2022
Bayesian nonparametric model for arbitrary cubic partitioning
ACML 2021
DMCP: Differentiable Markov Channel Pruning for Neural Networks
CVPR 2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
ICML 2020
A Kernel Theory of Modern Data Augmentation
ICML 2019
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
NeurIPS 2019
Learning low-dimensional state embeddings and metastable clusters from time series data
NeurIPS 2019
State Aggregation Learning from Markov Transition Data
NeurIPS 2019
Dependent Relational Gamma Process Models for Longitudinal Networks
ICML 2018