output
20202026
most citedLatent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism

4 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

cs.CV2026

AT-ViT: Area-Targeted Multi-View Vision Transformer with Cross-Attention and Multi-Scale Patching for Plant Trait Recognition in Herbarium Images

Amani Sedrat, Takieddine Chehhat, Youcef Sklab +5

Automated plant traits recognition from herbarium images is essential for plant sciences, yet remains challenging because background elements (e.g., textual labels, mounting artifa…

cs.CV2025

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability

Ahmad Fall, Federica Granese, Alex Lence +5

Monitoring and analyzing electrocardiogram (ECG) signals, even under varying physiological conditions, including those influenced by physical activity, drugs and stress, is crucial…

cs.LG2020★ 4 cited

Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism

Nataliya Sokolovska, Pierre-Henri Wuillemin

Causal inference methods based on conditional independence construct Markov equivalent graphs, and cannot be applied to bivariate cases. The approaches based on independence of cau…