
ChemDFM-R: Chemical Reasoner LLM
A 14B-parameter chemical reasoning LLM enhanced with atomized functional group knowledge and mix-sourced distillation …

A 14B-parameter chemical reasoning LLM enhanced with atomized functional group knowledge and mix-sourced distillation …

Introduces displacement interpolation to prove ground state uniqueness via optimal transport, establishing foundations …

A continuous-time normalizing flow using stochastic interpolants and quadratic loss to bypass costly ODE …

A simulation-free framework for training Continuous Normalizing Flows using Conditional Flow Matching and Optimal …

A unified ODE-based framework for generative modeling and domain transfer that learns straight paths for fast 1-step …

Introduces ODE-Nets, a continuous-depth neural network model parameterized by ODEs, enabling constant memory …

Theoretical paper proving the equivalence between training Denoising Autoencoders and performing Score Matching on a …

Unified SDE framework for score-based generative models, introducing Predictor-Corrector samplers and achieving SOTA on …

Flow matching model that co-generates ligands and flexible protein pockets, addressing rigid-receptor limitations in …

A fast, diverse inverse folding method combining deep learning with Potts models to capture full sequence landscapes.
A hierarchical grammar-based approach for recognizing and analyzing online handwritten chemical formulas in mobile …
A dual-stage classifier combining SVM and HMM to recognize online handwritten chemical symbols, introducing a reordering …