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
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
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
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
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
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
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
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
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
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
Geometry-based data generation
O Lindenbaum, JS Stanley III, G Wolf, S Krishnaswamy
Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
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
Extendable and invertible manifold learning with geometry regularized autoencoders
AF Duque, S Morin, G Wolf, K Moon
2020 IEEE International Conference on Big Data (Big Data), 5027-5036, 2020
Diffusion Earth Mover's Distance and Distribution Embeddings
A Tong, G Huguet, A Natik, K MacDonald, M Kuchroo, R Coifman, G Wolf, ...
Proceedings of the 38th International Conference on Machine Learning, PMLR …, 2021
Geometric wavelet scattering networks on compact Riemannian manifolds
M Perlmutter, F Gao, G Wolf, M Hirn
Mathematical and Scientific Machine Learning, 570-604, 2020
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
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