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End-to-end Sinkhorn Autoencoder with Noise Generator

End-to-end Sinkhorn Autoencoder with Noise Generator

11 June 2020
Kamil Deja
Jan Dubiñski
Piotr W. Nowak
S. Wenzel
Tomasz Trzciñski
    SyDa
ArXivPDFHTML

Papers citing "End-to-end Sinkhorn Autoencoder with Noise Generator"

12 / 12 papers shown
Title
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in
  ALICE, CERN
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN
Patryk Bedkowski
Jan Dubiñski
Kamil Deja
Przemysław Rokita
AI4CE
21
1
0
05 Jun 2024
Generative Diffusion Models for Fast Simulations of Particle Collisions
  at CERN
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN
Mikołaj Kita
Jan Dubiñski
Przemysław Rokita
Kamil Deja
DiffM
AI4CE
35
2
0
05 Jun 2024
Particle physics DL-simulation with control over generated data
  properties
Particle physics DL-simulation with control over generated data properties
Karol Rogoziñski
Jan Dubiñski
Przemyslaw Rokita
Kamil Deja
AI4CE
23
2
0
22 May 2024
Neural Sinkhorn Gradient Flow
Neural Sinkhorn Gradient Flow
Huminhao Zhu
Fangyikang Wang
Chao Zhang
Han Zhao
Hui Qian
27
5
0
25 Jan 2024
Adapt & Align: Continual Learning with Generative Models Latent Space
  Alignment
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment
Kamil Deja
Bartosz Cywiñski
Jan Rybarczyk
Tomasz Trzciñski
CLL
DRL
21
0
0
21 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Baran Hashemi
Claudius Krause
30
16
0
15 Dec 2023
Machine Learning methods for simulating particle response in the Zero
  Degree Calorimeter at the ALICE experiment, CERN
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
Jan Dubiñski
Kamil Deja
S. Wenzel
Przemyslaw Rokita
Tomasz Trzciñski
AI4CE
13
5
0
23 Jun 2023
Selectively increasing the diversity of GAN-generated samples
Selectively increasing the diversity of GAN-generated samples
Jan Dubiñski
Kamil Deja
S. Wenzel
Przemyslaw Rokita
Tomasz Trzciñski
GAN
11
9
0
04 Jul 2022
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in
  Continual Learning
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
Kamil Deja
Pawel Wawrzyñski
Wojciech Masarczyk
Daniel Marczak
Tomasz Trzciñski
CLL
10
4
0
23 Jun 2021
Latent Space Refinement for Deep Generative Models
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDL
GAN
DRL
DiffM
10
27
0
01 Jun 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
13
151
0
02 Feb 2021
Generative models with kernel distance in data space
Generative models with kernel distance in data space
Szymon Knop
Marcin Mazur
P. Spurek
Jacek Tabor
Igor T. Podolak
GAN
SyDa
11
11
0
15 Sep 2020
1