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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
82022
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
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, 2023
2023
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
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Articles 1–4