🎲 Stochastic Processes - yfff · Scour

KinetiDiff: Docking-Guided Diffusion for De Novo ACVR1 Inhibitor Design in Fibrodysplasia Ossificans Progressiva 🦀Rust

Strang splitting estimator for nonlinear multivariate stochastic differential equations with Pearson-type multiplicative noise 📐Estimation Theory

When do trajectories matter? Identifiability analysis for stochastic transport phenomena 🔢Random Matrix Theory

Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems 🔥PyTorch

DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference 🔥PyTorch

Adaptive Kernel Selection for Kernelized Diffusion Maps 📡Signal Processing

Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing 📐Optimization Theory

Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification 📊MATLAB

Decompounding on Compact Symmetric Spaces 📐Linear Algebra

On the Conditioning Consistency Gap in Conditional Neural Processes 🧠LLM

Dimensional Criticality at Grokking Across MLPs and Transformers 🧠LLM

FASTER: Value-Guided Sampling for Fast RL 🎮Reinforcement Learning

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models 🎮Reinforcement Learning

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization 🗜️Compressed Sensing

StomaD2: An All-in-One System for Intelligent Stomatal Phenotype Analysis via Diffusion-Based Restoration Detection Network 📐Optimization Theory

ML, PL, QL in Markov chain models 📐Estimation Theory

Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning 🗜️Compressed Sensing

BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation 🧠LLM

Distributional Statistical Models: Weak Moments, Cumulants, and a Central Limit Theorem 📊Statistics

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning 🎮Reinforcement Learning

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