Carl Shneider - RankMe

11 papers A 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Information Theoretic Pruning of Coupled Channels in Deep Neural Networks. WACV Peyman Rostami, Nilotpal Sinha, Nidhal Eddine Chenni, Anis Kacem, Abd El Rahman Shabayek, Carl Shneider, Djamila Aouada
2024	A	`conf`	Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. WACV Nilotpal Sinha, Abd El Rahman Shabayek, Anis Kacem, Peyman Rostami, Carl Shneider, Djamila Aouada
2023	J	`jnl`	A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects. CoRR Leo Pauly, Wassim Rharbaoui, Carl Shneider, Arunkumar Rathinam, Vincent Gaudillière, Djamila Aouada
2023	J	`jnl`	Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. CoRR Nilotpal Sinha, Abd El Rahman Shabayek, Anis Kacem, Peyman Rostami, Carl Shneider, Djamila Aouada
2023	J	`jnl`	Impact of Disentanglement on Pruning Neural Networks. CoRR Carl Shneider, Peyman Rostami, Anis Kacem, Nilotpal Sinha, Abd El Rahman Shabayek, Djamila Aouada
2021	J	`jnl`	A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission. CoRR Carl Shneider, Andong Hu, Ajay K. Tiwari, Monica G. Bobra, Karl Battams, Jannis Teunissen, Enrico Camporeale
2021	J	`jnl`	The data-driven future of high-energy-density physics. Nat. 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, Derek Mariscal, Madison E. Martin, Taisuke Nagayama, Charlotte A. J. Palmer, J. Luc Peterson, Steven J. Rose, J. J. Ruby, Carl Shneider, Matt J. V. Streeter, Will Trickey, Ben Williams
2020	J	`jnl`	Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe
2019	J	`jnl`	Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties. CoRR Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo
2019	J	`jnl`	Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses. CoRR Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo
2018	—	`conf`	A Portable and Scalable Workflow for Detecting Structural Variants in Whole-Genome Sequencing Data. eScience Arnold Kuzniar, Jason Maassen, Stefan Verhoeven, Luca Santuari, Carl Shneider, Wigard Kloosterman, Jeroen de Ridder