A Portable and Scalable Workflow for Detecting Structural Variants in Whole-Genome Sequencing Data. - Arnold Kuzniar; Jason Maassen; Stefan Verhoeven; Luca Santuari; Carl Shneider; Wigard Kloosterman; Jeroen de Ridder (eScience, 2018)

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. - Xavier Gitiaux; Shane A. Maloney; Anna Jungbluth; Carl Shneider; Paul J. Wright; Atilim Günes Baydin; Michel Deudon; Yarin Gal; Alfredo Kalaitzis; Andrés Muñoz-Jaramillo (CoRR, 2019)

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses. - Anna Jungbluth; Xavier Gitiaux; Shane A. Maloney; Carl Shneider; Paul J. Wright; Alfredo Kalaitzis; Michel Deudon; Atilim Günes Baydin; Yarin Gal; Andrés Muñoz-Jaramillo (CoRR, 2019)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2019)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2019)

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. - Shagun Sodhani; Mayoore S. Jaiswal; Lauren Baker; Koustuv Sinha; Carl Shneider; Peter Henderson 002; Joel Lehman; Ryan Lowe (CoRR, 2020)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2020)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2020)

Converter software to calibrate and super-resolve solar magnetograms. - Andrés Muñoz-Jaramillo; Xavier Gitiaux; Anna Jungbluth; Shane A. Maloney; Carl Shneider; Paul J. Wright; Michel Deudon; Alfredo Kalaitzis; Atilim Günes Baydin; Yarin Gal (Zenodo, 2020)

Grand Challenge.org. - James A. Meakin; Harm van Zeeland; Marcel Koek; Paul K. Gerke; Bart De Dobbelaer; Hans Pinckaers; Carl Shneider; Haimasree Bhattacharya; Roel Zinkstok; Ecem Sogancioglu; Cristina González-Gonzalo; Hans Meine; et al. (Zenodo, 2020)

A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission. - Carl Shneider; Andong Hu; Ajay K. Tiwari; Monica G. Bobra; Karl Battams; Jannis Teunissen; Enrico Camporeale (CoRR, 2021)

The data-driven future of high-energy-density physics. - Peter W. Hatfield; Jim A. Gaffney; Gemma J. Anderson; Suzanne Ali; Luca Antonelli; Suzan Basegmez du Pree; Jonathan Citrin; Marta Fajardo; Patrick F. Knapp; Brendan Kettle; Bogdan Kustowski; Michael J. MacDonald; et al. (Nat., 2021)

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects. - Leo Pauly; Wassim Rharbaoui; Carl Shneider; Arunkumar Rathinam; Vincent Gaudillière; Djamila Aouada (CoRR, 2023)

Impact of Disentanglement on Pruning Neural Networks. - Carl Shneider; Peyman Rostami; Anis Kacem 001; Nilotpal Sinha; Abd El Rahman Shabayek; Djamila Aouada (CoRR, 2023)

Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. - Nilotpal Sinha; Abd El Rahman Shabayek; Anis Kacem 001; Peyman Rostami; Carl Shneider; Djamila Aouada (WACV, 2024)

Information Theoretic Pruning of Coupled Channels in Deep Neural Networks. - Peyman Rostami; Nilotpal Sinha; Nidhal Eddine Chenni; Anis Kacem 001; Abd El Rahman Shabayek; Carl Shneider; Djamila Aouada (WACV, 2025)