Bridging GANs and Bayesian Neural Networks via Partial Stochasticity
Fuente:
arXiv
Saved in:
| Main Authors: | Filippone, Maurizio, Linhard, Marius P. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PaDPaF: Partial Disentanglement with Partially-Federated GANs
by: Almansoori, Abdulla Jasem, et al.
Published: (2022)
by: Almansoori, Abdulla Jasem, et al.
Published: (2022)
Robust Classification by Coupling Data Mollification with Label Smoothing
by: Heinonen, Markus, et al.
Published: (2024)
by: Heinonen, Markus, et al.
Published: (2024)
Explaining Bayesian Neural Networks
by: Bykov, Kirill, et al.
Published: (2021)
by: Bykov, Kirill, et al.
Published: (2021)
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
by: Panda, Subhodip, et al.
Published: (2024)
by: Panda, Subhodip, et al.
Published: (2024)
Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
Tabular GANs for uneven distribution
by: Ashrapov, Insaf
Published: (2020)
by: Ashrapov, Insaf
Published: (2020)
Intriguing Properties of Modern GANs
by: Friedman, Roy, et al.
Published: (2024)
by: Friedman, Roy, et al.
Published: (2024)
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)
by: Moon, Saemi, et al.
Published: (2023)
Adversarial Examples Detection with Bayesian Neural Network
by: Li, Yao, et al.
Published: (2021)
by: Li, Yao, et al.
Published: (2021)
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)
Max-Sliced Wasserstein Distance and its use for GANs
by: Deshpande, Ishan, et al.
Published: (2019)
by: Deshpande, Ishan, et al.
Published: (2019)
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)
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 Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)
by: Attallah, Kirolos, et al.
Published: (2024)
by: Attallah, Kirolos, et al.
Published: (2024)
Bayesian Multi-Scale Neural Network for Crowd Counting
by: Sagar, Abhinav
Published: (2020)
by: Sagar, Abhinav
Published: (2020)
Distilling Diffusion Models into Conditional GANs
by: Kang, Minguk, et al.
Published: (2024)
by: Kang, Minguk, et al.
Published: (2024)
Scalable GANs with Transformers
by: Hyun, Sangeek, et al.
Published: (2025)
by: Hyun, Sangeek, et al.
Published: (2025)
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)
by: Hu, Jiacheng, et al.
Published: (2024)
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
by: Ni, Yao, et al.
Published: (2024)
by: Ni, Yao, et al.
Published: (2024)
Logit Disagreement: OoD Detection with Bayesian Neural Networks
by: Raina, Kevin
Published: (2025)
by: Raina, Kevin
Published: (2025)
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
by: Peleska, Jan, et al.
Published: (2023)
by: Peleska, Jan, et al.
Published: (2023)
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
by: Wan, Chang, et al.
Published: (2025)
by: Wan, Chang, et al.
Published: (2025)
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
by: Paul, Richard D., et al.
Published: (2024)
by: Paul, Richard D., et al.
Published: (2024)
Conditional Uncertainty-Aware Political Deepfake Detection with Stochastic Convolutional Neural Networks
by: Gardoş, Rafael-Petruţ
Published: (2026)
by: Gardoş, Rafael-Petruţ
Published: (2026)
Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity
by: Kobayashi, Yuya, et al.
Published: (2025)
by: Kobayashi, Yuya, et al.
Published: (2025)
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
by: Chakraborty, Tanujit, et al.
Published: (2023)
by: Chakraborty, Tanujit, et al.
Published: (2023)
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques
by: Tang, W., et al.
Published: (2024)
by: Tang, W., et al.
Published: (2024)
The Evolving Nature of Latent Spaces: From GANs to Diffusion
by: Schaerf, Ludovica
Published: (2025)
by: Schaerf, Ludovica
Published: (2025)
Preconditioners for the Stochastic Training of Neural Fields
by: Chng, Shin-Fang, et al.
Published: (2024)
by: Chng, Shin-Fang, et al.
Published: (2024)
VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
by: Thomas, Aaron Mark, et al.
Published: (2024)
by: Thomas, Aaron Mark, et al.
Published: (2024)
Neural Stochastic Processes for Satellite Precipitation Refinement
by: Nagashima, Shunya, et al.
Published: (2026)
by: Nagashima, Shunya, et al.
Published: (2026)
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
by: Arteaga, Gabriel Y., et al.
Published: (2025)
by: Arteaga, Gabriel Y., et al.
Published: (2025)
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
by: Palit, Sanchar, et al.
Published: (2024)
by: Palit, Sanchar, et al.
Published: (2024)
Synergistic Neural Forecasting of Air Pollution with Stochastic Sampling
by: Abeysinghe, Yohan, et al.
Published: (2025)
by: Abeysinghe, Yohan, et al.
Published: (2025)
Towards Robust Neural Networks via Orthogonal Diversity
by: Fang, Kun, et al.
Published: (2020)
by: Fang, Kun, et al.
Published: (2020)
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
by: Khorram, Saeed, et al.
Published: (2024)
by: Khorram, Saeed, et al.
Published: (2024)
Asymmetric GANs for Image-to-Image Translation
by: Tang, Hao, et al.
Published: (2019)
by: Tang, Hao, et al.
Published: (2019)
Similar Items
-
PaDPaF: Partial Disentanglement with Partially-Federated GANs
by: Almansoori, Abdulla Jasem, et al.
Published: (2022) -
Robust Classification by Coupling Data Mollification with Label Smoothing
by: Heinonen, Markus, et al.
Published: (2024) -
Explaining Bayesian Neural Networks
by: Bykov, Kirill, et al.
Published: (2021) -
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
by: Panda, Subhodip, et al.
Published: (2024) -
Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)