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Linearized Optimal Transport for Collider Events

Linearized Optimal Transport for Collider Events

19 August 2020
Tianji Cai
Junyi Cheng
N. Craig
Katy Craig
    OT
ArXiv (abs)PDFHTML

Papers citing "Linearized Optimal Transport for Collider Events"

15 / 15 papers shown
Linearized Optimal Transport for Analysis of High-Dimensional Point-Cloud and Single-Cell Data
Linearized Optimal Transport for Analysis of High-Dimensional Point-Cloud and Single-Cell Data
Tianxiang Wang
Yingtong Ke
Dhananjay Bhaskar
Smita Krishnaswamy
Alexander Cloninger
130
0
0
24 Oct 2025
Non-Gaussianities in Collider Metric Binning
Andrew J. Larkoski
343
2
0
05 Mar 2025
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein spaceAnnual Conference Computational Learning Theory (COLT), 2023
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
616
15
0
05 Dec 2023
Scaling Laws in Jet Classification
Scaling Laws in Jet ClassificationSciPost Physics Core (SPC), 2023
Joshua D. Batson
Yonatan Kahn
191
4
0
04 Dec 2023
Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
Nabarun Deb
Young-Heon Kim
Soumik Pal
Geoffrey Schiebinger
207
14
0
31 Jul 2023
Differentiable Earth Mover's Distance for Data Compression at the
  High-Luminosity LHC
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Rohan Shenoy
Javier Mauricio Duarte
C. Herwig
J. Hirschauer
D. Noonan
M. Pierini
Nhan Tran
C. Suarez
388
3
0
07 Jun 2023
Linear Optimal Partial Transport Embedding
Linear Optimal Partial Transport EmbeddingInternational Conference on Machine Learning (ICML), 2023
Yikun Bai
Ivan Medri
Rocio Diaz Martin
Rana Muhammad Shahroz Khan
Soheil Kolouri
OT
407
11
0
07 Feb 2023
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's
  Distance
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
S. Tsan
Raghav Kansal
Anthony Aportela
Daniel Madrigal Diaz
Javier Mauricio Duarte
S. Krishna
Farouk Mokhtar
J. Vlimant
M. Pierini
170
22
0
24 Nov 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics
Challenges for Unsupervised Anomaly Detection in Particle Physics
Katherine Fraser
S. Homiller
Rashmish K. Mishra
B. Ostdiek
M. Schwartz
DRL
166
50
0
13 Oct 2021
An Exploration of Learnt Representations of W Jets
An Exploration of Learnt Representations of W Jets
J. Collins
DRL
281
16
0
22 Sep 2021
Transport away your problems: Calibrating stochastic simulations with
  optimal transport
Transport away your problems: Calibrating stochastic simulations with optimal transportNuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment (NIM A), 2021
Chris Pollard
Philipp Windischhofer
OT
108
9
0
19 Jul 2021
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and
  Classification
The Signed Cumulative Distribution Transform for 1-D Signal Analysis and ClassificationFoundations of Data Science (FODS), 2021
Akram Aldroubi
Rocio Diaz Martin
Ivan Medri
Gustavo K. Rohde
Sumati Thareja
143
17
0
03 Jun 2021
Topological Obstructions to Autoencoding
Topological Obstructions to AutoencodingJournal of High Energy Physics (JHEP), 2021
Joshua D. Batson
C. G. Haaf
Yonatan Kahn
Daniel A. Roberts
AI4CE
192
41
0
16 Feb 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
210
216
0
02 Feb 2021
A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition
A Linear Transportation Lp\mathrm{L}^pLp Distance for Pattern Recognition
Oliver M. Crook
Mihai Cucuringu
Tim Hurst
Carola-Bibiane Schönlieb
Matthew Thorpe
K. Zygalakis
157
7
0
23 Sep 2020
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