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Currently displaying 361 - 380 of 3289 publications

Non-Newtonian corrections to radiative viscosity: Israel-Stewart theory as a viscosity limiter

L Gavassino

(2024)

(link to publication)

Gapless nonhydrodynamic modes in relativistic kinetic theory

L Gavassino

– Physical Review Research

(2024)

l042043

(doi: 10.1103/PhysRevResearch.6.L042043)

Smooth extremal horizons are the exception, not the rule

GT Horowitz, JE Santos

(2024)

(link to publication)

Spinning Black Binaries in de Sitter Space

ÓJC Dias, JE Santos, B Way

– Phys Rev Lett

(2024)

133,

191401

(doi: 10.1103/physrevlett.133.191401)

Convergence of the hydrodynamic gradient expansion in relativistic kinetic theory

L Gavassino

– Physical Review D

(2024)

110,

094012

(doi: 10.1103/physrevd.110.094012)

Optimizing the Evolution of Perturbations in the $Λ$CDM Universe

S-F Chen, Z Vlah, M White

– Journal of Cosmology and Astroparticle Physics

(2024)

012

(doi: 10.1088/1475-7516/2024/11/012)

Accelerating Giant-impact Simulations with Machine Learning

C Lammers, M Cranmer, S Hadden, S Ho, N Murray, D Tamayo

– Astrophysical Journal

(2024)

975,

228

(doi: 10.3847/1538-4357/ad7fe5)

Does it matter? A more careful treatment of density fluctuations in 21-cm simulations

J Flitter, S Libanore, ED Kovetz

(2024)

(link to publication)

Perturbative unitarity bounds from momentum-space entanglement

CD Pueyo, H Goodhew, C McCulloch, E Pajer

(2024)

(link to publication)

Hair is complicated: Gravitational waves from stable and unstable boson-star mergers

B-X Ge, EA Lim, U Sperhake, T Evstafyeva, D Cors, ED Jong, R Croft, T Helfer

(2024)

(link to publication)

The open effective field theory of inflation

SA Salcedo, T Colas, E Pajer

– Journal of High Energy Physics

(2024)

2024,

248

(doi: 10.1007/JHEP10(2024)248)

Computational complexity of deep learning: fundamental limitations and empirical phenomena

B Barak, A Carrell, A Favero, W Li, L Stephan, A Zlokapa

– Journal of Statistical Mechanics Theory and Experiment

(2024)

2024,

104008

(doi: 10.1088/1742-5468/ad3a5b)

Expected insights into Type Ia supernovae from LISA's gravitational wave observations

V Korol, R Buscicchio, R Pakmor, J Morán-Fraile, CJ Moore, SE de Mink

– Astronomy & Astrophysics

(2024)

691,

a44

(doi: 10.1051/0004-6361/202451380)

The mass profiles of dwarf galaxies from Dark Energy Survey lensing

J Thornton, A Amon, RH Wechsler, S Adhikari, Y-Y Mao, J Myles, M Geha, N Kallivayalil, E Tollerud, B Weiner

– Monthly Notices of the Royal Astronomical Society

(2024)

535,

(doi: 10.1093/mnras/stae2040)

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

K Wang, N Dimitriadis, A Favero, G Ortiz-Jimenez, F Fleuret, P Frossard

(2024)

(link to publication)

What can be learnt with wide convolutional neural networks?^*

F Cagnetta, A Favero, M Wyart

– Journal of Statistical Mechanics Theory and Experiment

(2024)

2024,

104020

(doi: 10.1088/1742-5468/ad65df)

Black Holes Inside and Out 2024: visions for the future of black hole physics

N Afshordi, A Ashtekar, E Barausse, E Berti, R Brito, L Buoninfante, R Carballo-Rubio, V Cardoso, G Carullo, M Dafermos, MD Laurentis, AD Rio, FD Filippo, A Eichhorn, R Emparan, R Gregory, CAR Herdeiro, J Kunz, L Lehner, S Liberati, SD Mathur, S Nissanke, P Pani, A Platania, F Pretorius, M Sasaki, P Tiede, W Unruh, M Visser, RM Wald

(2024)

(link to publication)

Probing the Latent Hierarchical Structure of Data via Diffusion Models

A Sclocchi, A Favero, NI Levi, M Wyart

(2024)

(link to publication)

Black-Hole Cartography

R Dyer, CJ Moore

(2024)

(link to publication)

Evolution of creases on the event horizon of a black hole merger

M Gadioux, RA Hennigar, HS Reall