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Currently displaying 2921 - 2940 of 27811 publications

Stability of some two dimensional wave maps: A wave-Klein-Gordon model

S Dong, Z Wyatt – Differential and Integral Equations (2024) 37, 79

(DOI: 10.57262/die037-0102-79)

Symbolic Regression with a Learned Concept Library

A Grayeli, A Sehgal, O Costilla-Reyes, M Cranmer, S Chaudhuri – Advances in Neural Information Processing Systems (2024) 37

The Missing U for Efficient Diffusion Models

S Calvo-Ordoñez, CW Cheng, J Huang, L Zhang, G Yang, CB Schönlieb, AI Aviles-Rivero – Transactions on Machine Learning Research (2024) 2024

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 Ciuca, M Cranmer, A Doh, M Grayling, EE Hayes, T Hehir, S Ho, M Huertas-Company, KG Iyer, M Jablonska, F Lanusse, HW Leung, K Mandel, JR Martinez-Galarza, P Melchior, L Meyer, LH Parker, H Qu, J Shen, MJ Smith, C Stone, M Walmsley, JF Wu – ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024) (2024) 37

The Sample Complexity of Simple Binary Hypothesis Testing

A Pensia, V Jog, P-L Loh – Proceedings of Machine Learning Research (2024) 247, 4205

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.

M Cranmer, S Dalziel, R Kerswell, M Beneitez – NeurIPS (2024)

(DOI: 10.17863/CAM.113689)

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.

M Cranmer, K Rich R., D Stuart B., B Miguel – Advances in Neural Information Processing Systems (2024) abs/2412.00568

TheWell: a Large-Scale Collection of Diverse Physics Simulations forMachine Learning

R Ohana, M McCabe, L Meyer, R Morel, FJ Agocs, M Beneitez, M Berger, B Burkhart, SB Dalziel, DB Fielding, D Fortunato, JA Goldberg, K Hirashima, Y-F Jiang, RR Kerswell, S Maddu, J Miller, P Mukhopadhyay, SS Nixon, J Shen, R Watteaux, B Regaldo-Saint Blancard, F Rozet, LH Parker, M Cranmer, S Ho – ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024) (2024)

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation

HY Tan, Z Cai, M Pereyra, S Mukherjee, J Tang, CB Schönlieb – Transactions on Machine Learning Research (2024) 2024

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

Γ -Convergence of an Ambrosio-Tortorelli Approximation Scheme for Image Segmentation

I Fonseca, LM Kreusser, C-B Schoenlieb, M Thorpe – Indiana University Mathematics Journal (2024) 73, 189

(DOI: 10.1512/iumj.2024.73.9777)

Fermion-Monopole Scattering in the Standard Model

MV Beest, PB Smith, D Delmastro, R Mouland, D Tong – (2023)

Integration theory for kinks and sphalerons in one dimension

NS Manton – Journal of Physics A Mathematical and Theoretical (2023) 57, 025202

(DOI: 10.1088/1751-8121/ad14ac)