BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
Fuente:
arXiv
Saved in:
| Main Authors: | Valizadeh, Mahsa, Tuo, Rui, Caverlee, James |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Language Models as Semantic Augmenters for Sequential Recommenders
by: Valizadeh, Mahsa, et al.
Published: (2025)
by: Valizadeh, Mahsa, et al.
Published: (2025)
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders
by: Gonzales, Christophe, et al.
Published: (2024)
by: Gonzales, Christophe, et al.
Published: (2024)
Data Cleansing for GANs
by: Terashita, Naoyuki, et al.
Published: (2025)
by: Terashita, Naoyuki, et al.
Published: (2025)
Dual Space Training for GANs: A Pathway to Efficient and Creative Generative Models
by: Modrekiladze, Beka
Published: (2024)
by: Modrekiladze, Beka
Published: (2024)
GANs Conditioning Methods: A Survey
by: Bourou, Anis, et al.
Published: (2024)
by: Bourou, Anis, et al.
Published: (2024)
Generalized Regression with Conditional GANs
by: Jobson, Deddy, et al.
Published: (2024)
by: Jobson, Deddy, et al.
Published: (2024)
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
by: Liu, Haoran, et al.
Published: (2024)
by: Liu, Haoran, et al.
Published: (2024)
A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility
by: Madhyastha, Pranava
Published: (2026)
by: Madhyastha, Pranava
Published: (2026)
DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
by: Xu, Bowen, et al.
Published: (2025)
by: Xu, Bowen, et al.
Published: (2025)
Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights
by: Parashar, Shubham, et al.
Published: (2025)
by: Parashar, Shubham, et al.
Published: (2025)
Information-Theoretic Safe Bayesian Optimization
by: Bottero, Alessandro G., et al.
Published: (2024)
by: Bottero, Alessandro G., et al.
Published: (2024)
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
Prime Convolutional Model: Breaking the Ground for Theoretical Explainability
by: Panelli, Francesco, et al.
Published: (2025)
by: Panelli, Francesco, et al.
Published: (2025)
Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs
by: Liepelt, Milan, et al.
Published: (2026)
by: Liepelt, Milan, et al.
Published: (2026)
On the MIA Vulnerability Gap Between Private GANs and Diffusion Models
by: Sebag, Ilana, et al.
Published: (2025)
by: Sebag, Ilana, et al.
Published: (2025)
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
by: Jeon, Jinsung, et al.
Published: (2022)
by: Jeon, Jinsung, et al.
Published: (2022)
E$^{2}$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
by: Gong, Yifan, et al.
Published: (2024)
by: Gong, Yifan, et al.
Published: (2024)
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
by: Mercier, Dominique, et al.
Published: (2023)
by: Mercier, Dominique, et al.
Published: (2023)
High-Quality and Full Bandwidth Seismic Signal Synthesis using Operational GANs
by: Devecioglu, Ozer Can, et al.
Published: (2024)
by: Devecioglu, Ozer Can, et al.
Published: (2024)
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
by: Bengesi, Staphord, et al.
Published: (2023)
by: Bengesi, Staphord, et al.
Published: (2023)
Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
by: Pian, Yuzhuang, et al.
Published: (2025)
by: Pian, Yuzhuang, et al.
Published: (2025)
Scalable GANs with Transformers
by: Hyun, Sangeek, et al.
Published: (2025)
by: Hyun, Sangeek, et al.
Published: (2025)
Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance
by: Yadav, Pankaj, et al.
Published: (2025)
by: Yadav, Pankaj, et al.
Published: (2025)
How to Train Data-Efficient LLMs
by: Sachdeva, Noveen, et al.
Published: (2024)
by: Sachdeva, Noveen, et al.
Published: (2024)
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
by: Ahmadianshalchi, Alaleh, et al.
Published: (2024)
by: Ahmadianshalchi, Alaleh, et al.
Published: (2024)
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation
by: Yoon, Hee Suk, et al.
Published: (2024)
by: Yoon, Hee Suk, et al.
Published: (2024)
Scaling Laws and In-Context Learning: A Unified Theoretical Framework
by: Mehta, Sushant, et al.
Published: (2025)
by: Mehta, Sushant, et al.
Published: (2025)
EDGE: A Theoretical Framework for Misconception-Aware Adaptive Learning
by: Verma, Ananda Prakash
Published: (2025)
by: Verma, Ananda Prakash
Published: (2025)
A Theoretical Framework for Partially Observed Reward-States in RLHF
by: Kausik, Chinmaya, et al.
Published: (2024)
by: Kausik, Chinmaya, et al.
Published: (2024)
NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models
by: Liu, Lawrence, et al.
Published: (2025)
by: Liu, Lawrence, et al.
Published: (2025)
Enhanced anomaly detection in well log data through the application of ensemble GANs
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)
by: Al-Fakih, Abdulrahman, et al.
Published: (2024)
Level Generation with Constrained Expressive Range
by: Bazzaz, Mahsa, et al.
Published: (2025)
by: Bazzaz, Mahsa, et al.
Published: (2025)
Analysis of Robustness of a Large Game Corpus
by: Bazzaz, Mahsa, et al.
Published: (2025)
by: Bazzaz, Mahsa, et al.
Published: (2025)
Guided Game Level Repair via Explainable AI
by: Bazzaz, Mahsa, et al.
Published: (2024)
by: Bazzaz, Mahsa, et al.
Published: (2024)
Controllable Game Level Generation: Assessing the Effect of Negative Examples in GAN Models
by: Bazzaz, Mahsa, et al.
Published: (2024)
by: Bazzaz, Mahsa, et al.
Published: (2024)
Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN
by: Shatri, Elona, et al.
Published: (2024)
by: Shatri, Elona, et al.
Published: (2024)
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)
by: Afzal, Arshia, et al.
Published: (2025)
Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)
Operator-Theoretic Framework for Gradient-Free Federated Learning
by: Kumar, Mohit, et al.
Published: (2025)
by: Kumar, Mohit, et al.
Published: (2025)
Distributions as Actions: A Unified Framework for Diverse Action Spaces
by: He, Jiamin, et al.
Published: (2025)
by: He, Jiamin, et al.
Published: (2025)
Similar Items
-
Language Models as Semantic Augmenters for Sequential Recommenders
by: Valizadeh, Mahsa, et al.
Published: (2025) -
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders
by: Gonzales, Christophe, et al.
Published: (2024) -
Data Cleansing for GANs
by: Terashita, Naoyuki, et al.
Published: (2025) -
Dual Space Training for GANs: A Pathway to Efficient and Creative Generative Models
by: Modrekiladze, Beka
Published: (2024) -
GANs Conditioning Methods: A Survey
by: Bourou, Anis, et al.
Published: (2024)