Alexander Tong
18 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Keyword Pioneer
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Topic Evolution
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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(89)
Venues
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Research topics
Machine Learning
(15)
Deep Learning
(12)
Models
(11)
Optimization & Theory
(8)
Mathematics & Optimization
(7)
Core Methods
(7)
Optimization
(6)
Artificial Intelligence
(5)
Architectures
(4)
Learning Paradigms
(3)
Healthcare & Medicine
(2)
Research
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Keywords
flow matching
(5)
optimal transport
(4)
manifold learning
(3)
reinforcement learning from human feedback
(2)
diffusion model
(2)
generative model
(2)
geodesic distance
(2)
single-cell rna sequencing
(2)
trajectory inference
(2)
protein language model
(2)
deep learning
(1)
trajectory modeling
(1)
transformer
(1)
langevin dynamics
(1)
unsupervised learning
(1)
point cloud
(1)
protein design
(1)
dimensionality reduction
(1)
time series modeling
(1)
gene expression
(1)
Papers
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
ICML 2025
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
ICLR 2025
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
ICLR 2025
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
ICML 2025
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
ICLR 2025
The Superposition of Diffusion Models Using the ItΓ΄ Density Estimator
ICLR 2025
A Computational Framework for Solving Wasserstein Lagrangian Flows
ICML 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
ICML 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold
NeurIPS 2024
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
ICLR 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
NeurIPS 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modelling
NeurIPS 2024
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
NeurIPS 2023
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NeurIPS 2022
POT: Python Optimal Transport
JMLR 2021
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
ICML 2020