1 citations · 2 across the 7 of their papers we have counts for
7 papers
Modeling with Categorical Features via Exact Fusion and Sparsity Regularisation
Kayhan Behdin, Riade Benbaki, Peter Radchenko +1
We study the high-dimensional linear regression problem with categorical predictors that have many levels. We propose a new estimation approach, which performs model compression vi…
Group Contrastive Learning for Weakly Paired Multimodal Data
Aditya Gorla, Hugues Van Assel, Jan-Christian Huetter +4
We present GROOVE, a semi-supervised multi-modal representation learning approach for high-content perturbation data where samples across modalities are weakly paired through share…
Sparse Mixture-of-Experts for Multi-Channel Imaging: Are All Channel Interactions Required?
Sukwon Yun, Heming Yao, Burkhard Hoeckendorf +3
Vision Transformers () have become the backbone of vision foundation models, yet their optimization for multi-channel domains - such as cell painting or satellite imag…
Supervised Contrastive Block Disentanglement
Taro Makino, Ji Won Park, Natasa Tagasovska +11
Real-world datasets often combine data collected under different experimental conditions. This yields larger datasets, but also introduces spurious correlations that make it diffic…
Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening
Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao +3
Optical pooled screening (OPS) combines automated microscopy and genetic perturbations to systematically study gene function in a scalable and cost-effective way. Leveraging the re…
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images
Heming Yao, Phil Hanslovsky, Jan-Christian Huetter +2
Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease. The characterization of high-c…
Unsupervised Segmentation of Colonoscopy Images
Heming Yao, Jérôme Lüscher, Benjamin Gutierrez Becker +4
Colonoscopy plays a crucial role in the diagnosis and prognosis of various gastrointestinal diseases. Due to the challenges of collecting large-scale high-quality ground truth anno…