Guy Wolf
Cited by
Cited by
Recovering gene interactions from single-cell data using data diffusion
D Van Dijk, R Sharma, J Nainys, K Yim, P Kathail, AJ Carr, C Burdziak, ...
Cell 174 (3), 716-729. e27, 2018
Visualizing structure and transitions in high-dimensional biological data
KR Moon, D Van Dijk, Z Wang, S Gigante, DB Burkhardt, WS Chen, K Yim, ...
Nature biotechnology 37 (12), 1482-1492, 2019
Recipe for a general, powerful, scalable graph transformer
L Rampášek, M Galkin, VP Dwivedi, AT Luu, G Wolf, D Beaini
Advances in Neural Information Processing Systems 35, 14501-14515, 2022
Exploring single-cell data with deep multitasking neural networks
M Amodio, D van Dijk, K Srinivasan, WS Chen, H Mohsen, KR Moon, ...
Nature Methods 16, 1139–1145, 2019
Quantifying the effect of experimental perturbations at single-cell resolution
DB Burkhardt, JS Stanley, A Tong, AL Perdigoto, SA Gigante, KC Herold, ...
Nature Biotechnology 39 (5), 619-629, 2021
Long range graph benchmark
VP Dwivedi, L Rampášek, M Galkin, A Parviz, G Wolf, AT Luu, D Beaini
Advances in Neural Information Processing Systems 35, 22326-22340, 2022
Manifold learning-based methods for analyzing single-cell RNA-sequencing data
KR Moon, JS Stanley III, D Burkhardt, D van Dijk, G Wolf, S Krishnaswamy
Current Opinion in Systems Biology 7, 36-46, 2018
Geometric scattering for graph data analysis
F Gao, G Wolf, M Hirn
Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019
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
Scattering GCN: Overcoming oversmoothness in graph convolutional networks
Y Min, F Wenkel, G Wolf
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
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
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
Structural and developmental principles of neuropil assembly in C. elegans
MW Moyle, KM Barnes, M Kuchroo, A Gonopolskiy, LH Duncan, ...
Nature 591 (7848), 99-104, 2021
Uncovering the topology of time-varying fMRI data using cubical persistence
B Rieck, T Yates, C Bock, K Borgwardt, G Wolf, N Turk-Browne, ...
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Uncovering axes of variation among single-cell cancer specimens
WS Chen, N Zivanovic, D Van Dijk, G Wolf, B Bodenmiller, ...
Nature methods 17 (3), 302-310, 2020
Reliability of CKA as a Similarity Measure in Deep Learning
MR Davari, S Horoi, A Natik, G Lajoie, G Wolf, E Belilovsky
ICLR 2023, 2023
Geometry regularized autoencoders
AF Duque, S Morin, G Wolf, KR Moon
IEEE transactions on pattern analysis and machine intelligence 45 (6), 7381-7394, 2022
Geometric wavelet scattering networks on compact Riemannian manifolds
M Perlmutter, F Gao, G Wolf, M Hirn
Mathematical and Scientific Machine Learning, 570-604, 2020
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 35, 29705-29718, 2022
Fixing bias in reconstruction-based anomaly detection with lipschitz discriminators
A Tong, G Wolf, S Krishnaswamy
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
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