Dominik Sturm
@domsturm.bsky.social
PhD student @mosaicgroup.bsky.social working on machine learning for understanding the spatial organization of living systems from images.
Reposted by Dominik Sturm
Modeling spatial point patterns from noisy, incomplete experimental data just got easier! Great work by @domsturm.bsky.social for sparse, noise-robust model inference of point processes 🤩 @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de Preprint out now: arxiv.org/abs/2510.25550
Robust variable selection for spatial point processes observed with noise
We propose a method for variable selection in the intensity function of spatial point processes that combines sparsity-promoting estimation with noise-robust model selection. As high-resolution spatia...
arxiv.org
November 5, 2025 at 4:30 PM
Modeling spatial point patterns from noisy, incomplete experimental data just got easier! Great work by @domsturm.bsky.social for sparse, noise-robust model inference of point processes 🤩 @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de Preprint out now: arxiv.org/abs/2510.25550
Reposted by Dominik Sturm
Do you like developing new AI vision methods for microscopy image analysis? You love theory & implementation? 1 week left to apply for a fully funded PhD position in our lab in Dresden 🇩🇪! Topics: object detection/tracking, multimodal models & more. DM/email for details! #PhD #AcademicJobs #GPUsgoBrr
Vacancy ID 12244
www.verw.tu-dresden.de
July 10, 2025 at 1:49 PM
Do you like developing new AI vision methods for microscopy image analysis? You love theory & implementation? 1 week left to apply for a fully funded PhD position in our lab in Dresden 🇩🇪! Topics: object detection/tracking, multimodal models & more. DM/email for details! #PhD #AcademicJobs #GPUsgoBrr
Reposted by Dominik Sturm
Enabling deep learning on large images with massively reduced compute and resource needs. Meet the content-adaptive APR-CNN architecture! Out now in @tmlrorg.bsky.social - openreview.net/forum?id=5qK...
APR-CNN: Convolutional Neural Networks for the Adaptive Particle...
We present APR-CNN, a novel class of convolutional neural networks designed for efficient and scalable three-dimensional microscopy image analysis. APR-CNNs operate natively on a sparse...
openreview.net
February 18, 2025 at 10:15 AM
Enabling deep learning on large images with massively reduced compute and resource needs. Meet the content-adaptive APR-CNN architecture! Out now in @tmlrorg.bsky.social - openreview.net/forum?id=5qK...