Alert button
Picture for Alexander Tong

Alexander Tong

Alert button

Metric Flow Matching for Smooth Interpolations on the Data Manifold

Add code
Bookmark button
Alert button
May 23, 2024
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni

Viaarxiv icon

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Add code
Bookmark button
Alert button
Feb 09, 2024
Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong

Viaarxiv icon

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

Add code
Bookmark button
Alert button
Dec 04, 2023
Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy

Figure 1 for Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Figure 2 for Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Figure 3 for Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Figure 4 for Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Viaarxiv icon

A Computational Framework for Solving Wasserstein Lagrangian Flows

Add code
Bookmark button
Alert button
Oct 17, 2023
Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani

Viaarxiv icon

Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Add code
Bookmark button
Alert button
Oct 05, 2023
Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio, Dianbo Liu

Figure 1 for Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
Figure 2 for Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
Figure 3 for Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
Viaarxiv icon

SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Add code
Bookmark button
Alert button
Oct 03, 2023
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael Bronstein, Alexander Tong

Viaarxiv icon

Simulation-free Schrödinger bridges via score and flow matching

Add code
Bookmark button
Alert button
Jul 07, 2023
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

Figure 1 for Simulation-free Schrödinger bridges via score and flow matching
Figure 2 for Simulation-free Schrödinger bridges via score and flow matching
Figure 3 for Simulation-free Schrödinger bridges via score and flow matching
Figure 4 for Simulation-free Schrödinger bridges via score and flow matching
Viaarxiv icon

Neural FIM for learning Fisher Information Metrics from point cloud data

Add code
Bookmark button
Alert button
Jun 12, 2023
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy

Figure 1 for Neural FIM for learning Fisher Information Metrics from point cloud data
Figure 2 for Neural FIM for learning Fisher Information Metrics from point cloud data
Figure 3 for Neural FIM for learning Fisher Information Metrics from point cloud data
Figure 4 for Neural FIM for learning Fisher Information Metrics from point cloud data
Viaarxiv icon

Graph Fourier MMD for Signals on Graphs

Add code
Bookmark button
Alert button
Jun 05, 2023
Samuel Leone, Aarthi Venkat, Guillaume Huguet, Alexander Tong, Guy Wolf, Smita Krishnaswamy

Figure 1 for Graph Fourier MMD for Signals on Graphs
Figure 2 for Graph Fourier MMD for Signals on Graphs
Figure 3 for Graph Fourier MMD for Signals on Graphs
Figure 4 for Graph Fourier MMD for Signals on Graphs
Viaarxiv icon

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

Add code
Bookmark button
Alert button
May 30, 2023
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy

Figure 1 for A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Figure 2 for A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Figure 3 for A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Figure 4 for A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Viaarxiv icon