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Till Richter
Till Richter
Helmholtz Munich
Verified email at helmholtz-munich.de
Title
Cited by
Cited by
Year
Sparsity in continuous-depth neural networks
H Aliee, T Richter, M Solonin, I Ibarra, F Theis, N Kilbertus
Advances in Neural Information Processing Systems 35, 901-914, 2022
92022
Generating Multi-Modal and Multi-Attribute Single-Cell Counts with CFGen
A Palma, T Richter, H Zhang, M Lubetzki, A Tong, A Dittadi, F Theis
arXiv preprint arXiv:2407.11734, 2024
2024
Delineating the Effective Use of Self-Supervised Learning in Single-Cell Genomics
T Richter, M Bahrami, Y Xia, DS Fischer, FJ Theis
bioRxiv, 2024.02. 16.580624, 2024
2024
cellFlow: a generative flow-based model for single-cell count data
A Palma, T Richter, H Zhang, A Dittadi, FJ Theis
ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 0
SpatialSSL: Whole-Brain Spatial Transcriptomics in the Mouse Brain with Self-Supervised Learning
T Richter, A Schaar, F Drummer, CW Liao, L Endres, FJ Theis
NeurIPS 2023 AI for Science Workshop, 0
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