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20072026
most citedNon-line-of-sight imaging with arbitrary illumination and detection pattern

69 citations · 518 across the 94 of their papers we have counts for

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26 papers · 1 filter

cs.LG2026

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective

Xiaoyi Jiang, Jingyuan Li, Yixuan Jiang +4

Existing methods mainly adapt pretrained autoregressive (AR) language models to masked diffusion, whereas we directly adapt them to uniform-noise diffusion, where every token remai…

cs.LG2026

Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

Jingyuan Li, Xiaoyi Jiang, Yixuan Jiang +4

Score Entropy Discrete Diffusion (SEDD) parameterizes discrete reverse processes with unconstrained positive score ratios. While positivity guarantees nonnegative reverse jump rate…

cs.LG2026

OLEDLM: A Unified Language Model for OLED Molecular Design

Fukang Wen, Yuchong Tang, Jingyuan Li +9

The development of organic light-emitting diode (OLED) materials faces the compounded challenges of an astronomically large chemical space, stringent quantum-chemical constraints,…

cs.LG2026

Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction

Jingyuan Li, Xiaoyi Jiang, Fukang Wen +5

Discrete diffusion models based on continuous-time Markov chains (CTMCs) have shown strong performance on language and discrete data generation, yet existing approaches typically p…

cs.LG2025

BlinDNO: A Distributional Neural Operator for Dynamical System Reconstruction from Time-Label-Free data

Zhijun Zeng, Junqing Chen, Zuoqiang Shi

We study an inverse problem for stochastic and quantum dynamical systems in a time-label-free setting, where only unordered density snapshots sampled at unknown times drawn from an…

cs.LG2025

An Efficient Conditional Score-based Filter for High Dimensional Nonlinear Filtering Problems

Zhijun Zeng, Weiye Gan, Junqing Chen +1

In many engineering and applied science domains, high-dimensional nonlinear filtering is still a challenging problem. Recent advances in score-based diffusion models offer a promis…