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  • Currently displaying 21 - 40 of 27673 publications
Avalanche-like intercalation and intraparticle correlations in graphite
J Han, GS Phillips, AJ Merryweather, J Lim, C Schnedermann, RL Jack, CP Grey, A Rao – Nature (2026) 656, 364
(DOI: 10.1038/s41586-026-10862-4)
Deep learning with missing data
T Ma, T Wang, RJ Samworth – Journal of the Royal Statistical Society Series B Statistical Methodology (2026) qkag114
(DOI: 10.1093/jrsssb/qkag114)
AE-AEPD: Repurposing Adversarial Evasion for Cross-Omics Linkage Defense
M Zohrabi, G Gursoy, R Bowler, K Kechris, F Banaei-Kashani – Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (2026) 1
(DOI: 10.1145/3807503.3819457)
Resolution-dependent jet stream representation in ICON aquaplanet experiments
M Bukenberger, S Schemm, A Dipankar, P Pothapakula, CR Ong – (2026)
(DOI: 10.22541/essoar.15006621/v1)
On the origin of finite entanglement scaling
L Hodgkiss, L Lootens, A Ueda, B Vanhecke, F Verstraete – (2026)
(DOI: 10.48550/arxiv.2607.15124)
DiffShape: Decoupling Shape Priors with Conditional Diffusion for Robust Brain Extraction.
Y Li, Z Li, H Wang, Y Lu, C-B Schonlieb, C Li, X Chen – IEEE transactions on medical imaging (2026) PP, 1
(DOI: 10.1109/tmi.2026.3716658)
Fine-Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes
F Lehmann, F Ozdemir, B Soja, T Hoefler, S Mishra, S Schemm – Journal of Geophysical Research: Machine Learning and Computation (2026) 3, e2025JH000837
(DOI: 10.1029/2025jh000837)
Finiteness properties and Higman's rope trick
F Fournier-Facio, MCB Zaremsky – (2026)
How understanding the diversity of perspectives and systems in governments can increase the impact of scientific research
L Hadley, S Ben Miled, HE Clapham, BA Djaafara, L Dyson, S Funk, JR Gog, H Heesterbeek, EM Hill, E Howerton, V Isham, A Kebir, M Keeling, SM Kissler, J Lessler, K Leung, E McBryde, JM McCaw, CEG Mercado, D Mollison, SM Thumbi, W Pan-Ngum, L Pellis, FJ Pérez-Reche, MJ Plank, RN Thompson, C Tran-Kiem – Communications Health (2026) 1, 13
(DOI: 10.1038/s44528-026-00009-2)
Machine Can Automatically Discover Parametric Functions to Model HEP Data
HF Tsoi, D Rankin, C Caillol, M Cranmer, S Dasu, J Duarte, P Harris, E Lipeles – (2026)
1-Lipschitz Neural Networks on Hadamard Manifolds
D Murari, M Ghirardelli, B Adcock, E Celledoni, B Owren, C-B Schönlieb – (2026)
Flow-Induced Compaction of Visco-Elastic and Visco-Plastic Soft Porous Media
ER Bouckley, DR Hewitt – Quarterly Journal of Mechanics and Applied Mathematics (2026) 79, hbag009
(DOI: 10.1093/qjmam/hbag009)
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