CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds

23 November 2022

Papers citing "CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds"

29 / 29 papers shown

Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 124 0 0 04 Apr 2025
Score-based Generative Models for Calorimeter Shower Simulation Vinicius Mikuni Benjamin Nachman DiffM 86 76 0 17 Jun 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 61 31 0 14 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 493 15,734 0 20 Dec 2021
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih 81 64 0 21 Oct 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 89 81 0 09 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 73 32 0 09 Jun 2021
Rectangular Flows for Manifold Learning Anthony L. Caterini Gabriel Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 68 47 0 02 Jun 2021
Density estimation on low-dimensional manifolds: an inflation-deflation approach Christian Horvat J. Pfister 52 15 0 25 May 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 273 0 18 Apr 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 712 18,310 0 19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 188 777 0 10 Jun 2019
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Miles Brundage S. Avin Jack Clark H. Toner P. Eckersley ... Owain Evans Michael Page Joanna J. Bryson Roman V. Yampolskiy Dario Amodei 77 707 0 20 Feb 2018
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks Michela Paganini Luke de Oliveira Benjamin Nachman AI4CE GAN 55 317 0 21 Dec 2017
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 131 1,057 0 05 Nov 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 124 530 0 17 Jan 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 242 2,404 0 23 Dec 2016
Normalizing Flows on Riemannian Manifolds Mevlana Gemici Danilo Jimenez Rezende S. Mohamed BDL 70 106 0 07 Nov 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 89 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 142 0 31 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,719 0 26 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,196 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,312 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 116 239 0 02 Jun 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 278 12,458 0 24 Jun 2012