Computational Chemistry
Chemical structures and molecular representations feeding into a neural network model that processes atomized chemical knowledge

ChemDFM-R: Chemical Reasoner LLM

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

Machine Learning Fundamentals
Comparison of linear interpolation (teleportation) showing double peaks versus displacement interpolation (transportation) showing smooth single peak

A Convexity Principle for Interacting Gases

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

Generative Modeling
Visualization of probability density flow from initial distribution ρ₀ to target distribution ρ₁ over time through space

Building Normalizing Flows with Stochastic Interpolants

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

Generative Modeling
Visualization comparing Optimal Transport (straight paths) vs Diffusion (curved paths) for Flow Matching

Flow Matching for Generative Modeling

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

Generative Modeling
Visualization showing linear interpolation, learned ODE trajectories, and the reflow straightening process for rectified flow

Flow Straight and Fast

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

Machine Learning Fundamentals
Comparison of Residual Network vs ODE Network architectures showing discrete layers versus continuous transformations

Neural Ordinary Differential Equations

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

Generative Modeling
Denoising Score Matching Intuition - Vectors point from corrupted samples back to clean data, approximating the score

Score Matching and Denoising Autoencoders

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

Generative Modeling
Forward and Reverse SDE trajectories showing the diffusion process from data to noise and back

Score-Based Generative Modeling with SDEs

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

Computational Biology
DynamicFlow illustration showing the transformation from apo pocket to holo pocket with ligand molecule generation

DynamicFlow: Integrating Protein Dynamics into Drug Design

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

Computational Biology
InvMSAFold generates diverse protein sequences from structure using a Potts model

InvMSAFold: Fast & Diverse Inverse Folding

A fast, diverse inverse folding method combining deep learning with Potts models to capture full sequence landscapes.

Computational Chemistry

Online Handwritten Chemical Formula Structure Analysis

A hierarchical grammar-based approach for recognizing and analyzing online handwritten chemical formulas in mobile …

Computational Chemistry

SVM-HMM Online Classifier for Chemical Symbols

A dual-stage classifier combining SVM and HMM to recognize online handwritten chemical symbols, introducing a reordering …