1 citations · 1 across the 4 of their papers we have counts for
4 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…
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…
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…