ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.09673
  4. Cited By
Combating Mode Collapse in GAN training: An Empirical Analysis using
  Hessian Eigenvalues

Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues

17 December 2020
Ricard Durall
Avraam Chatzimichailidis
P. Labus
J. Keuper
    GAN
ArXivPDFHTML

Papers citing "Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues"

22 / 22 papers shown
Title
APEX: Action Priors Enable Efficient Exploration for Skill Imitation on Articulated Robots
Shivam Sood
Laukik B Nakhwa
Yuhong Cao
Sun Ge
Guillaume Sartoretti
14
0
0
15 May 2025
Metrics that matter: Evaluating image quality metrics for medical image generation
Metrics that matter: Evaluating image quality metrics for medical image generation
Yash Deo
Yan Jia
T. Lassila
William A. P. Smith
T. Lawton
Siyuan Kang
Alejandro F. Frangi
Ibrahim Habli
46
0
0
12 May 2025
Generative diffusion model surrogates for mechanistic agent-based biological models
Generative diffusion model surrogates for mechanistic agent-based biological models
Tien Comlekoglu
J. Q. Toledo-Marín
Douglas W. DeSimone
Shayn M. Peirce
Geoffrey C. Fox
J. Glazier
DiffM
MedIm
53
1
0
01 May 2025
Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks
Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks
Murat Bilgehan Ertan
Ronak Sahu
Phuong Ha Nguyen
Kaleel Mahmood
Marten van Dijk
29
0
0
23 Apr 2025
LapLoss: Laplacian Pyramid-based Multiscale loss for Image Translation
Krish Didwania
Ishaan Gakhar
Prakhar Arya
Sanskriti Labroo
61
0
0
07 Mar 2025
AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
Sean Wu
Michael Koo
Fabien Scalzo
Ira Kurtz
LM&MA
MedIm
51
1
0
21 Feb 2025
HSIGene: A Foundation Model For Hyperspectral Image Generation
HSIGene: A Foundation Model For Hyperspectral Image Generation
Li Pang
Datao Tang
Shuang Xu
Deyu Meng
Xiangyong Cao
DiffM
36
12
0
19 Sep 2024
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
Haoyi Niu
Qimao Chen
Tenglong Liu
Jianxiong Li
Guyue Zhou
Yi Zhang
Jianming Hu
Xianyuan Zhan
36
0
0
13 Sep 2024
RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation
RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation
Mirgahney Mohamed
Harry Jake Cunningham
M. Deisenroth
Lourdes Agapito
DiffM
44
0
0
11 Jun 2024
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from
  Offline Datasets
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
Xiaoyu Huang
Yufeng Chi
Ruofeng Wang
Zhongyu Li
Xue Bin Peng
Sophia Shao
Borivoje Nikolic
K. Sreenath
OffRL
83
27
0
30 Apr 2024
Collaborative Synthesis of Patient Records through Multi-Visit Health
  State Inference
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Hongda Sun
Hongzhan Lin
Rui Yan
SyDa
27
2
0
22 Dec 2023
Idempotent Generative Network
Idempotent Generative Network
Assaf Shocher
Amil Dravid
Yossi Gandelsman
Inbar Mosseri
Michael Rubinstein
Alexei A. Efros
43
15
0
02 Nov 2023
Fine-tuning Language Models with Generative Adversarial Reward Modelling
Fine-tuning Language Models with Generative Adversarial Reward Modelling
Z. Yu
Lau Jia Jaw
Zhang Hui
Bryan Kian Hsiang Low
ALM
18
4
0
09 May 2023
Learning Representative Trajectories of Dynamical Systems via
  Domain-Adaptive Imitation
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation
Edgardo Solano-Carrillo
Jannis Stoppe
15
0
0
19 Apr 2023
Generative Adversarial Networks for Malware Detection: a Survey
Generative Adversarial Networks for Malware Detection: a Survey
Aeryn Dunmore
Ju-Seong Jang
Fariza Sabrina
Jin Kwak
GAN
19
7
0
16 Feb 2023
A Diffeomorphic Flow-based Variational Framework for Multi-speaker
  Emotion Conversion
A Diffeomorphic Flow-based Variational Framework for Multi-speaker Emotion Conversion
Ravi Shankar
Hsi-Wei Hsieh
N. Charon
A. Venkataraman
DRL
15
2
0
09 Nov 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
A survey on GANs for computer vision: Recent research, analysis and
  taxonomy
A survey on GANs for computer vision: Recent research, analysis and taxonomy
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVM
AI4TS
15
58
0
21 Mar 2022
Score-Based Generative Models for Molecule Generation
Score-Based Generative Models for Molecule Generation
Dwaraknath Gnaneshwar
Bharath Ramsundar
Dhairya Gandhi
Rachel C. Kurchin
V. Viswanathan
DiffM
27
11
0
07 Mar 2022
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed
  Adversarial Gaussian Domain Adaptation
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
N. Savioli
A. de Marvao
Wenjia Bai
Shuo Wang
S. Cook
C. Chin
Daniel Rueckert
D. O’Regan
MedIm
24
2
0
16 Jul 2021
Regularized Generative Adversarial Network
Regularized Generative Adversarial Network
Gabriele Di Cerbo
Ali Hirsa
Ahmad Shayaan
GAN
OOD
9
1
0
09 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,890
0
15 Sep 2016
1