E-LIB Suche - Ergebnisse für: Ghosh, Aishik

1

Statistical patterns of theory uncertainties:

Ghosh, Aishik ; Nachman, Benjamin ; Plehn, Tilman...
SciPost Physics Core. 6 (2023) 2 - p. , 2023

Link: https://doi.org/10.21468..

2

Generalizing to new geometries with Geometry-Aware Autoregr..:

Liu, Junze ; Ghosh, Aishik ; Smith, Dylan..
Journal of Instrumentation. 18 (2023) 11 - p. P11003 , 2023

Link: https://doi.org/10.1088/..

3

Deducing neutron star equation of state from telescope spec..:

Farrell, Delaney ; Baldi, Pierre ; Ott, Jordan...
Journal of Cosmology and Astroparticle Physics. 2023 (2023) 12 - p. 022 , 2023

Link: https://doi.org/10.1088/..

4

Panoramic Analysis of Video Defogging:

, In: 2023 International Conference on Inventive Computation Technologies (ICICT),

Kumar, Boppana Sudheer ; Likhitha, Dasari ; Kumar, Gadhamsetty Nikhil... - p. 957-962 , 2023

Link: https://doi.org/10.1109/..

5

Deducing the EOS of dense neutron star matter with machine ..:

Farrell, Delaney ; Baldi, Pierre ; Ott, Jordan...
Astronomische Nachrichten. 344 (2023) 1-2 - p. , 2023

Link: https://doi.org/10.1002/..

6

Deducing neutron star equation of state parameters directly..:

Farrell, Delaney ; Baldi, Pierre ; Ott, Jordan...
Journal of Cosmology and Astroparticle Physics. 2023 (2023) 2 - p. 016 , 2023

Link: https://doi.org/10.1088/..

7

Towards a deep learning model for hadronization:

Ghosh, Aishik ; Ju, Xiangyang ; Nachman, Benjamin.
Physical Review D. 106 (2022) 9 - p. , 2022

Link: https://doi.org/10.1103/..

8

A cautionary tale of decorrelating theory uncertainties:

Ghosh, Aishik ; Nachman, Benjamin
The European Physical Journal C. 82 (2022) 1 - p. , 2022

Link: https://doi.org/10.1140/..

9

Publishing unbinned differential cross section results:

Arratia, Miguel ; Butter, Anja ; Campanelli, Mario...
Journal of Instrumentation. 17 (2022) 1 - p. P01024 , 2022

Link: https://doi.org/10.1088/..

10

Uncertainty-aware machine learning for high energy physics:

Ghosh, Aishik ; Nachman, Benjamin ; Whiteson, Daniel
Physical Review D. 104 (2021) 5 - p. , 2021

Link: https://doi.org/10.1103/..

11

Fast simulation methods in ATLAS: from classical to generat..:

Chapman, John ; Cranmer, Kyle ; Gadatsch, Stefan...
EPJ Web of Conferences. 245 (2020) - p. 02035 , 2020

Link: https://doi.org/10.1051/..

12

Deep generative models for fast shower simulation in ATLAS:

Ghosh, Aishik
Journal of Physics: Conference Series. 1525 (2020) 1 - p. 012077 , 2020

Link: https://doi.org/10.1088/..

13

Deep Generative Models for Fast Shower Simulation in ATLAS:

, In: 2018 IEEE 14th International Conference on e-Science (e-Science),

Salamani, Dalila ; Gadatsch, Stefan ; Golling, Tobias... - p. 348-348 , 2018

Link: https://doi.org/10.1109/..

14

Deducing Neutron Star Equation of State from Telescope Spec..:

Farrell, Delaney ; Baldi, Pierre ; Ott, Jordan...
http://arxiv.org/abs/2305.07442. , 2023

Link: http://arxiv.org/abs/230..

15

End-To-End Latent Variational Diffusion Models for Inverse ..:

Shmakov, Alexander ; Greif, Kevin ; Fenton, Michael...
http://arxiv.org/abs/2305.10399. , 2023

Link: http://arxiv.org/abs/230..