Alexander Tong

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Smita KrishnaswamyYale UniversityDirección de correo verificada de yale.edu
Guy WolfUniversité de Montréal; MilaDirección de correo verificada de umontreal.ca
Guillaume HuguetUniversité de Montréal; MilaDirección de correo verificada de mila.quebec
Kilian FatrasMachine Learning research scientistDirección de correo verificada de mila.quebec
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARDirección de correo verificada de umontreal.ca
Manik KuchrooResident Physician, Massachusetts General HospitalDirección de correo verificada de mgh.harvard.edu
David van DijkAssistant Professor, Yale UniversityDirección de correo verificada de yale.edu
Daniel B BurkhardtCellarity - Machine Learning ScientistDirección de correo verificada de cellarity.com
Jarrid Rector-BrooksPhD Student, MilaDirección de correo verificada de mila.quebec
Lazar AtanackovicPh.D. Candidate at the University of Toronto, Vector InstituteDirección de correo verificada de mail.utoronto.ca
Joey BoseUniversity of Oxford and MilaDirección de correo verificada de mail.mcgill.ca
Nikolay MalkinUniversity of EdinburghDirección de correo verificada de inf.ed.ac.uk
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRADirección de correo verificada de cs.ox.ac.uk
Tara Akhound-SadeghMcGill University, MilaDirección de correo verificada de mail.mcgill.ca
Christopher TapeGroup Leader, University College London Cancer InstituteDirección de correo verificada de ucl.ac.uk
Ronald Coifmanprofessor of mathematics yale universityDirección de correo verificada de math.yale.edu
Fabian J TheisHelmholtz Munich, Technical University of MunichDirección de correo verificada de helmholtz-muenchen.de

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Alexander Tong

Mila; Université de Montréal

Dirección de correo verificada de mila.quebec - Página principal

Optimal Transport Flow Models Causal Discovery Deep Learning Graph Signal Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Pot: Python optimal transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... Journal of Machine Learning Research 22 (78), 1-8, 2021	1053	2021
Improving and generalizing flow-based generative models with minibatch optimal transport A Tong, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, K Fatras, G Wolf, ... arXiv preprint arXiv:2302.00482, 2023	211*	2023
Quantifying the effect of experimental perturbations at single-cell resolution DB Burkhardt, JS Stanley III, A Tong, AL Perdigoto, SA Gigante, ... Nature biotechnology 39 (5), 619-629, 2021	201*	2021
Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics A Tong, J Huang, G Wolf, D Van Dijk, S Krishnaswamy International conference on machine learning, 9526-9536, 2020	165	2020
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells MD Luecken, DB Burkhardt, R Cannoodt, C Lance, A Agrawal, H Aliee, ... Thirty-fifth conference on neural information processing systems datasets …, 2021	105	2021
Multiscale PHATE identifies multimodal signatures of COVID-19 M Kuchroo, J Huang, P Wong, JC Grenier, D Shung, A Tong, C Lucas, ... Nature biotechnology 40 (5), 681-691, 2022	79*	2022
SE (3)-Stochastic Flow Matching for Protein Backbone Generation AJ Bose, T Akhound-Sadegh, G Huguet, K Fatras, J Rector-Brooks, ... International Conference on Learning Representations (spotlight), 2024	51	2024
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference G Huguet, DS Magruder, A Tong, O Fasina, M Kuchroo, G Wolf, ... Advances in Neural Information Processing Systems, 2022	49	2022
Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses MR Zapatero, A Tong, JW Opzoomer, R O’Sullivan, FC Rodriguez, J Sufi, ... Cell 186 (25), 5606-5619. e24, 2023	37	2023
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms M Perlmutter, A Tong, F Gao, G Wolf, M Hirn SIAM Journal on Mathematics of Data Science 5 (4), 873-898, 2023	36	2023
Single-cell analysis reveals inflammatory interactions driving macular degeneration M Kuchroo, M DiStasio, E Song, E Calapkulu, L Zhang, M Ige, AH Sheth, ... Nature Communications 14 (1), 2589, 2023	36	2023
Simulation-free Schrödinger bridges via score and flow matching A Tong, N Malkin, K Fatras, L Atanackovic, Y Zhang, G Huguet, G Wolf, ... International Conference on Artificial Intelligence and Statistics, 2024	34	2024
Fixing bias in reconstruction-based anomaly detection with lipschitz discriminators A Tong, G Wolf, S Krishnaswamy Journal of Signal Processing Systems, 1-15, 2021	34	2021
Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor–induced diabetes AL Perdigoto, S Deng, KC Du, M Kuchroo, DB Burkhardt, A Tong, G Israel, ... JCI insight 7 (17), 2022	32	2022
Diffusion earth mover’s distance and distribution embeddings AY Tong, G Huguet, A Natik, K MacDonald, M Kuchroo, R Coifman, ... International Conference on Machine Learning, 10336-10346, 2021	31*	2021
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets L Atanackovic, A Tong, B Wang, LJ Lee, Y Bengio, J Hartford Thirty-seventh Conference on Neural Information Processing Systems, 2023	28*	2023
Finding archetypal spaces using neural networks D van Dijk, DB Burkhardt, M Amodio, A Tong, G Wolf, S Krishnaswamy 2019 IEEE International Conference on Big Data (Big Data), 2634-2643, 2019	23*	2019
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities T Akhound-Sadegh, J Rector-Brooks, AJ Bose, S Mittal, P Lemos, CH Liu, ... International Conference on Machine Learning, 2024	21	2024
Learnable filters for geometric scattering modules A Tong, F Wenkel, D Bhaskar, K Macdonald, J Grady, M Perlmutter, ... IEEE Transactions on Signal Processing, 2024	20*	2024
Multimodal data visualization and denoising with integrated diffusion M Kuchroo, A Godavarthi, A Tong, G Wolf, S Krishnaswamy 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021	20*	2021

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