Cover Image

Disentangled Interleaving Variational Encoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wong, Noelle Y. L., Cheu, Eng Yeow, Chiam, Zhonglin, Srinivasan, Dipti
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differentially Private Multi-Sampling from Distributions
by: Cheu, Albert, et al.
Published: (2024)

Variational Learning of Disentangled Representations
by: Slavutsky, Yuli, et al.
Published: (2025)

Optimal Uncertainty-guided Neural Network Training
by: Kabir, H M Dipu, et al.
Published: (2019)

NudgeRank: Digital Algorithmic Nudging for Personalized Health
by: Chiam, Jodi, et al.
Published: (2024)

Disentanglement of Variations with Multimodal Generative Modeling
by: Zhang, Yijie, et al.
Published: (2025)

Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder
by: Koune, Ioannis Christoforos, et al.
Published: (2025)

Disentanglement of Sources in a Multi-Stream Variational Autoencoder
by: Boukun, Veranika, et al.
Published: (2025)

Interleaved Head Attention
by: Duvvuri, Sai Surya, et al.
Published: (2026)

A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
by: Li, Chengrui, et al.
Published: (2025)

Rethinking Disentanglement under Dependent Factors of Variation
by: Almudévar, Antonio, et al.
Published: (2024)

Disentanglement with Factor Quantized Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2024)

Disentangling shared and private latent factors in multimodal Variational Autoencoders
by: Märtens, Kaspar, et al.
Published: (2024)

SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
by: Weng, Zixuan, et al.
Published: (2024)

Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder
by: Zeng, Cheng, et al.
Published: (2024)

Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning
by: Jeong, Yujin, et al.
Published: (2026)

Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation
by: Cui, Ruijing, et al.
Published: (2024)

Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation
by: Zare, Mohammad
Published: (2025)

Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models
by: Jiang, Zhonglin, et al.
Published: (2025)

Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
by: Swanberg, Marika, et al.
Published: (2025)

Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning
by: Fan, Di, et al.
Published: (2023)

Plantain: Plan-Answer Interleaved Reasoning
by: Liang, Anthony, et al.
Published: (2025)

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
by: Meyer, Nico, et al.
Published: (2025)

Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy
by: Tudisco, Antonio, et al.
Published: (2025)

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding
by: Lee, Hyomin, et al.
Published: (2025)

Value Profiles for Encoding Human Variation
by: Sorensen, Taylor, et al.
Published: (2025)

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
by: Jung, Hee-Jun, et al.
Published: (2024)

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
by: Ma, Lu, et al.
Published: (2025)

Disentangling the Roles of Representation and Selection in Data Pruning
by: Du, Yupei, et al.
Published: (2025)

Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

Concept Heterogeneity-aware Representation Steering
by: Abdullaev, Laziz U., et al.
Published: (2026)

Ga$_2$O$_3$ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
by: Nguyen, Le Minh Long, et al.
Published: (2025)

Interpretable Analytic Calabi-Yau Metrics via Symbolic Distillation
by: Eng, D Yang
Published: (2026)

L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation
by: Ozcan, Hazal Mogultay, et al.
Published: (2025)

Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
by: Almudévar, Antonio, et al.
Published: (2024)

Sound Source Separation Using Latent Variational Block-Wise Disentanglement
by: Helwani, Karim, et al.
Published: (2024)

Deep Generative Models with Hard Linear Equality Constraints
by: Li, Ruoyan, et al.
Published: (2025)

SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression
by: Wen, Haoming, et al.
Published: (2025)

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
by: Cao, Chuxue, et al.
Published: (2026)

Interleaved Resampling and Refitting: Data and Compute-Efficient Evaluation of Black-Box Predictors
by: Hu, Haichen, et al.
Published: (2026)

A$^{2}$V-SLP: Alignment-Aware Variational Modeling for Disentangled Sign Language Production
by: Taşyürek, Sümeyye Meryem, et al.
Published: (2026)