Differentiable Energy-Based Regularization in GANs: A Simulator-Based Exploration of VQE-Inspired Auxiliary Losses
Fuente:
arXiv
Saved in:
| Main Author: | Strnadel, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025)
by: Ding, Xin, et al.
Published: (2025)
A Differential Equation Approach for Wasserstein GANs and Beyond
by: Malik, Zachariah, et al.
Published: (2024)
by: Malik, Zachariah, et al.
Published: (2024)
Cognitively Inspired Energy-Based World Models
by: Gladstone, Alexi, et al.
Published: (2024)
by: Gladstone, Alexi, et al.
Published: (2024)
DragGANSpace: Latent Space Exploration and Control for GANs
by: Odendaal, Kirsten, et al.
Published: (2025)
by: Odendaal, Kirsten, et al.
Published: (2025)
SMaRt: Improving GANs with Score Matching Regularity
by: Xia, Mengfei, et al.
Published: (2023)
by: Xia, Mengfei, et al.
Published: (2023)
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
by: Lin, Kuan-Yu, et al.
Published: (2026)
by: Lin, Kuan-Yu, et al.
Published: (2026)
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
by: Sun, Ke, et al.
Published: (2021)
by: Sun, Ke, et al.
Published: (2021)
Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy
by: Boutakka, Zakaria, et al.
Published: (2025)
by: Boutakka, Zakaria, et al.
Published: (2025)
Decoupled Split Learning via Auxiliary Loss
by: Zihad, Anower, et al.
Published: (2026)
by: Zihad, Anower, et al.
Published: (2026)
Revisiting Auxiliary Losses for Conditional Depth Routing: An Empirical Study
by: Lin, Qingwei
Published: (2026)
by: Lin, Qingwei
Published: (2026)
Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms
by: Hu, Zhuohuan, et al.
Published: (2024)
by: Hu, Zhuohuan, et al.
Published: (2024)
On the regularization of Wasserstein GANs
by: Petzka, Henning, et al.
Published: (2017)
by: Petzka, Henning, et al.
Published: (2017)
Multi-Scale Texture Loss for CT denoising with GANs
by: Di Feola, Francesco, et al.
Published: (2024)
by: Di Feola, Francesco, et al.
Published: (2024)
Search Inspired Exploration in Reinforcement Learning
by: Sotirchos, Georgios, et al.
Published: (2026)
by: Sotirchos, Georgios, et al.
Published: (2026)
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
by: Malek, Idriss, et al.
Published: (2025)
by: Malek, Idriss, et al.
Published: (2025)
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle
by: Tinker, Theodore Jerome, et al.
Published: (2024)
by: Tinker, Theodore Jerome, et al.
Published: (2024)
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
by: Lv, Ang, et al.
Published: (2025)
by: Lv, Ang, et al.
Published: (2025)
Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
by: Wang, Lean, et al.
Published: (2024)
by: Wang, Lean, et al.
Published: (2024)
Differentially Private Synthetic Data Generation Using Context-Aware GANs
by: Kotal, Anantaa, et al.
Published: (2025)
by: Kotal, Anantaa, et al.
Published: (2025)
Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization
by: Aguilera-Martínez, Francisco, et al.
Published: (2024)
by: Aguilera-Martínez, Francisco, et al.
Published: (2024)
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
by: Zhuo, Wei, et al.
Published: (2025)
by: Zhuo, Wei, et al.
Published: (2025)
Data Cleansing for GANs
by: Terashita, Naoyuki, et al.
Published: (2025)
by: Terashita, Naoyuki, et al.
Published: (2025)
Elliptic Loss Regularization
by: Hasan, Ali, et al.
Published: (2025)
by: Hasan, Ali, et al.
Published: (2025)
FloGAN: Scenario-Based Urban Mobility Flow Generation via Conditional GANs and Dynamic Region Decoupling
by: Yean, Seanglidet, et al.
Published: (2025)
by: Yean, Seanglidet, et al.
Published: (2025)
Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
by: Dam, Harvey, et al.
Published: (2025)
by: Dam, Harvey, et al.
Published: (2025)
PENEX: AdaBoost-Inspired Neural Network Regularization
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
Causally Inspired Regularization Enables Domain General Representations
by: Salaudeen, Olawale, et al.
Published: (2024)
by: Salaudeen, Olawale, et al.
Published: (2024)
GANs Conditioning Methods: A Survey
by: Bourou, Anis, et al.
Published: (2024)
by: Bourou, Anis, et al.
Published: (2024)
Layer Separation Deep Learning Model with Auxiliary Variables for Partial Differential Equations
by: Liu, Yaru, et al.
Published: (2025)
by: Liu, Yaru, et al.
Published: (2025)
VAEs and GANs: Implicitly Approximating Complex Distributions with Simple Base Distributions and Deep Neural Networks -- Principles, Necessity, and Limitations
by: Wei, Yuan-Hao
Published: (2025)
by: Wei, Yuan-Hao
Published: (2025)
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)
by: Herremans, Siemen, et al.
Published: (2024)
Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection
by: Hirnschall, David
Published: (2025)
by: Hirnschall, David
Published: (2025)
Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space
by: Jung, Jaeheun, et al.
Published: (2025)
by: Jung, Jaeheun, et al.
Published: (2025)
Generalized Dual Discriminator GANs
by: Chandana, Penukonda Naga, et al.
Published: (2025)
by: Chandana, Penukonda Naga, et al.
Published: (2025)
GANs as Gradient Flows that Converge
by: Huang, Yu-Jui, et al.
Published: (2022)
by: Huang, Yu-Jui, et al.
Published: (2022)
Generalized Regression with Conditional GANs
by: Jobson, Deddy, et al.
Published: (2024)
by: Jobson, Deddy, et al.
Published: (2024)
Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)
by: Wang, Yuexi, et al.
Published: (2022)
Double Descent and Other Interpolation Phenomena in GANs
by: Luzi, Lorenzo, et al.
Published: (2021)
by: Luzi, Lorenzo, et al.
Published: (2021)
Distributional Reinforcement Learning with Regularized Wasserstein Loss
by: Sun, Ke, et al.
Published: (2022)
by: Sun, Ke, et al.
Published: (2022)
Loss Regularizing Robotic Terrain Classification
by: Kumar, Shakti Deo, et al.
Published: (2024)
by: Kumar, Shakti Deo, et al.
Published: (2024)
Similar Items
-
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025) -
A Differential Equation Approach for Wasserstein GANs and Beyond
by: Malik, Zachariah, et al.
Published: (2024) -
Cognitively Inspired Energy-Based World Models
by: Gladstone, Alexi, et al.
Published: (2024) -
DragGANSpace: Latent Space Exploration and Control for GANs
by: Odendaal, Kirsten, et al.
Published: (2025) -
SMaRt: Improving GANs with Score Matching Regularity
by: Xia, Mengfei, et al.
Published: (2023)