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  • Currently displaying 1761 - 1780 of 24687 publications
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, I Ciucă, M Cranmer, A Do, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martínez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen et al.
– Advances in Neural Information Processing Systems
(2024)
37,
Cross-Modal Diffusion Modelling for Super-Resolved Spatial Transcriptomics
X Wang, X Huang, S Price, C Li
(2024)
15003,
98
(doi: 10.1007/978-3-031-72384-1_10)
Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning
B Schmitz, D Kreuter, O Boine-Frankenheim, D Margarone
– Laser and Particle Beams
(2024)
2023,
e3
(doi: 10.1155/2023/2868112)
Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division.
D Veraldi, D Pierangeli, S Gentilini, MC Strinati, J Sakellariou, JS Cummins, A Kamaletdinov, M Syed, RZ Wang, NG Berloff, D Karanikolopoulos, PG Savvidis, C Conti
– CoRR
(2024)
abs/2410.10689,
An Algorithm for Efficient Detection of (N, N)-Splittings and Its Application to the Isogeny Problem in Dimension 2
M Corte-Real Santos, C Costello, S Frengley
(2024)
14603 LNCS,
157
(doi: 10.1007/978-3-031-57725-3_6)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
M Cranmer, K Rich R., D Stuart B., B Miguel
– CoRR
(2024)
abs/2412.00568,
Chapter 3 A mathematical guide to operator learning
N Boullé, A Townsend
(2024)
25,
83
(doi: 10.1016/bs.hna.2024.05.003)
Continuous U-Net: Faster, Greater and Noiseless
CW Cheng, C Runkel, L Liu, RH Chan, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2024)
2024,
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology.
P Fytas, A Breger, I Selby, S Baker, S Shahipasand, A Korhonen
– Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
(2024)
212
(doi: 10.18653/v1/2024.bionlp-1.17)
Genomics-Guided Representation Learning for Pathologic Pan-Cancer Tumor Microenvironment Subtype Prediction
F Meng, H Zhang, R Yan, G Chuai, C Li, Q Liu
(2024)
15003 LNCS,
206
(doi: 10.1007/978-3-031-72384-1_20)
Generalized quantum asymptotic equipartition.
K Fang, H Fawzi, O Fawzi
– CoRR
(2024)
abs/2411.04035,
From higher Bruhat orders to Steenrod cup-i coproducts
G Laplante-Anfossi, NJ Williams
– Seminaire Lotharingien De Combinatoire
(2024)
1
Remediating Phonological Deficits in Dyslexia with Brain-Computer Interfaces
J Araújo, BD Simons, U Goswami
(2024)
13
(doi: 10.1007/978-3-031-49457-4_2)
Approximation of polynomials from Walsh tail spaces
A Eskenazis, H Zhang
– Studia Mathematica
(2024)
275,
285
(doi: 10.4064/sm231123-4-1)
A Beginner’s Guide to Black Hole Imaging and Associated Tests of General Relativity
A Lupsasca, DR Mayerson, B Ripperda, S Staelens
(2024)
183
(doi: 10.1007/978-981-97-2871-8_6)
Multivariate Quantiles: Geometric and Measure-Transportation-Based Contours
M Hallin, D Konen
(2024)
556,
61
(doi: 10.1007/978-3-031-67770-0_6)
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
Z Shumaylov, J Budd, S Mukherjee, CB Schönlieb
– Proceedings of Machine Learning Research
(2024)
235,
45286
Classical homological stability from the point of view of cells
O Randal-Williams
– ALGEBRAIC AND GEOMETRIC TOPOLOGY
(2024)
24,
(link to publication)
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
MAER Hammoud, N Raboudi, ES Titi, O Knio, I Hoteit
(2024)
(link to publication)
The Sample Complexity of Simple Binary Hypothesis Testing
A Pensia, V Jog, P-L Loh
– Proceedings of Machine Learning Research
(2024)
247,
4205
(link to publication)

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