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Currently displaying 241 - 260 of 1999 publications

Spectral methods on a triangle and W-systems.

J Gao, A Iserles

– CoRR

(2024)

abs/2408.01132,

Convergence of a moving window method for the Schrödinger equation with potential on Rd.

A Iserles, B Li, F Yao

– CoRR

(2024)

abs/2408.09463,

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration

HY Tan, S Mukherjee, J Tang, CB Schönlieb

– Transactions on Machine Learning Research

(2024)

2024,

Splitting methods for unbounded operators.

A Iserles, K Kropielnicka

– CoRR

(2024)

abs/2403.15147,

Generalized quantum asymptotic equipartition.

K Fang, H Fawzi, O Fawzi

– CoRR

(2024)

abs/2411.04035,

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning

Z Deng, R Ke, CB Schönlieb, AI Aviles-Rivero

– Transactions on Machine Learning Research

(2024)

2024,

Spatiotemporal Characteristics of the Near-Surface Turbulent Cascade at the Submesoscale in the Drake Passage

PF Tedesco, LE Baker, AC Naveira Garabato, MR Mazloff, ST Gille, CP Caulfield, A Mashayek

– Journal of Physical Oceanography

(2024)

54,

187

(doi: 10.1175/jpo-d-23-0108.1)

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

\Gamma-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)

Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps

J Träuble, L Hiscox, C Johnson, CB Schönlieb, GK Schierle, A Aviles-Rivero

– Transactions on Machine Learning Research

(2024)

2024,

Single-Shot Plug-and-Play Methods for Inverse Problems

Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, CB Schönlieb, AI Aviles-Rivero

– Transactions on Machine Learning Research

(2024)

2024,

On The Temporal Domain of Differential Equation Inspired Graph Neural Networks

M Eliasof, E Haber, E Treister, C-B Schonlieb

– INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238

(2024)

238,

1792

(link to publication)

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,

A data-driven method for modelling dissipation rates in stratified turbulence

SF Lewin, SM de Bruyn Kops, C-CP Caulfield, GD Portwood

– Journal of Fluid Mechanics

(2023)

977,

a37

(doi: 10.1017/jfm.2023.679)

Can artificial intelligence reach human thought?

AS Fokas

– PNAS nexus

(2023)

pgad409

(doi: 10.1093/pnasnexus/pgad409)

Dynamical Systems–Based Neural Networks

E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry

– SIAM Journal on Scientific Computing

(2023)

45,

a3071

(doi: 10.1137/22m1527337)

Deep learning-based segmentation of multisite disease in ovarian cancer

T Buddenkotte, L Rundo, R Woitek, L Escudero Sanchez, L Beer, M Crispin-Ortuzar, C Etmann, S Mukherjee, V Bura, C McCague, H Sahin, R Pintican, M Zerunian, I Allajbeu, N Singh, A Sahdev, L Havrilesky, DE Cohn, NW Bateman, TP Conrads, KM Darcy, GL Maxwell, JB Freymann, O Öktem, JD Brenton, E Sala, C-B Schönlieb

– European radiology experimental

(2023)

(doi: 10.1186/s41747-023-00388-z)

Sum-of-Squares Proofs of Logarithmic Sobolev Inequalities on Finite Markov Chains.

O Faust, H Fawzi

– IEEE Trans. Inf. Theory

(2023)

70,

803

(doi: 10.1109/tit.2023.3338292)

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, C-B Schönlieb, A Aviles-Rivero