Alexander Tong

Principal Researcher@Aithyra·奥地利·OpenReview

研究方向

flow matching · protein design · protein languge models · diffusion · discrete diffusion · feynmann kac · sde · optimal transport · deep learning · continuous normalizing flows · graph neural networks · graph scattering · graph signal processing · novelty detection · anomaly detection · unsupervised anomaly detection

Alexander Tong

FALCON: Few-step Accurate Likelihoods for Continuous Flows

Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators

OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction

Planner Aware Path Learning in Diffusion Language Models Training

Branched Schrödinger Bridge Matching

Topological Flow Matching

Simulation-Free Structure Learning for Stochastic Dynamics

Path Planning for Diffusion Language Model Sampling

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities

The Superposition of Diffusion Models Using the Itô Density Estimator

Curly Flow Matching for Learning Non-gradient Field Dynamics

Amortized Sampling with Transferable Normalizing Flows

Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen

Scalable Equilibrium Sampling with Sequential Boltzmann Generators

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction