A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Chengrui, Wang, Yunmiao, Wang, Yule, Li, Weihan, Jaeger, Dieter, Wu, Anqi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
por: Li, Chengrui, et al.
Publicado: (2025)
por: Li, Chengrui, et al.
Publicado: (2025)
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
por: Li, Chengrui, et al.
Publicado: (2024)
por: Li, Chengrui, et al.
Publicado: (2024)
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
por: Wang, Yule, et al.
Publicado: (2024)
por: Wang, Yule, et al.
Publicado: (2024)
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
por: Li, Weihan, et al.
Publicado: (2024)
por: Li, Weihan, et al.
Publicado: (2024)
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
por: Wang, Yule, et al.
Publicado: (2023)
por: Wang, Yule, et al.
Publicado: (2023)
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
por: Wang, Yule, et al.
Publicado: (2025)
por: Wang, Yule, et al.
Publicado: (2025)
A hitchhiker's guide to Poisson gradient estimation
por: Ibrahim, Michael, et al.
Publicado: (2026)
por: Ibrahim, Michael, et al.
Publicado: (2026)
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
por: McCart, Jonathan D., et al.
Publicado: (2024)
por: McCart, Jonathan D., et al.
Publicado: (2024)
Disentangled Representations for Causal Cognition
por: Torresan, Filippo, et al.
Publicado: (2024)
por: Torresan, Filippo, et al.
Publicado: (2024)
Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior
por: Wang, Jiyi, et al.
Publicado: (2025)
por: Wang, Jiyi, et al.
Publicado: (2025)
Disentangling Representations through Multi-task Learning
por: Vafidis, Pantelis, et al.
Publicado: (2024)
por: Vafidis, Pantelis, et al.
Publicado: (2024)
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
por: Rabbi, Jakaria, et al.
Publicado: (2024)
por: Rabbi, Jakaria, et al.
Publicado: (2024)
Topological Cycle Graph Attention Network for Brain Functional Connectivity
por: Huang, Jinghan, et al.
Publicado: (2024)
por: Huang, Jinghan, et al.
Publicado: (2024)
Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
por: Chen, Minheng, et al.
Publicado: (2026)
por: Chen, Minheng, et al.
Publicado: (2026)
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
por: Orlichenko, Anton, et al.
Publicado: (2024)
por: Orlichenko, Anton, et al.
Publicado: (2024)
REALM: Retrospective Encoder Alignment for LFP Modeling
por: Wu, Peicheng, et al.
Publicado: (2026)
por: Wu, Peicheng, et al.
Publicado: (2026)
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
por: Gondur, Rabia, et al.
Publicado: (2023)
por: Gondur, Rabia, et al.
Publicado: (2023)
Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation
por: Faremi, Saheed, et al.
Publicado: (2026)
por: Faremi, Saheed, et al.
Publicado: (2026)
SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
por: Zhang, Yimu, et al.
Publicado: (2025)
por: Zhang, Yimu, et al.
Publicado: (2025)
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
por: Yu, Chengting, et al.
Publicado: (2025)
por: Yu, Chengting, et al.
Publicado: (2025)
Video-based Analysis Reveals Atypical Social Gaze in People with Autism Spectrum Disorder
por: Yu, Xiangxu, et al.
Publicado: (2024)
por: Yu, Xiangxu, et al.
Publicado: (2024)
Memory-Amortized Inference: A Topological Unification of Search, Closure, and Structure
por: Li, Xin
Publicado: (2025)
por: Li, Xin
Publicado: (2025)
DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
por: Li, Weibin, et al.
Publicado: (2025)
por: Li, Weibin, et al.
Publicado: (2025)
A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System
por: Wang, Zhixuan
Publicado: (2025)
por: Wang, Zhixuan
Publicado: (2025)
Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
por: Liu, Zinan, et al.
Publicado: (2025)
por: Liu, Zinan, et al.
Publicado: (2025)
Learning High-Order Relationships of Brain Regions
por: Qiu, Weikang, et al.
Publicado: (2023)
por: Qiu, Weikang, et al.
Publicado: (2023)
Beyond Turing: Memory-Amortized Inference as a Foundation for Cognitive Computation
por: Li, Xin
Publicado: (2025)
por: Li, Xin
Publicado: (2025)
The Geometry of Abstraction: Continual Learning via Recursive Quotienting
por: Li, Xin
Publicado: (2025)
por: Li, Xin
Publicado: (2025)
NeuroBind: Towards Unified Multimodal Representations for Neural Signals
por: Yang, Fengyu, et al.
Publicado: (2024)
por: Yang, Fengyu, et al.
Publicado: (2024)
NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text
por: Yang, Yanting, et al.
Publicado: (2025)
por: Yang, Yanting, et al.
Publicado: (2025)
Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks
por: Paul, Ankita, et al.
Publicado: (2026)
por: Paul, Ankita, et al.
Publicado: (2026)
A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments
por: Khazoum, Raymond, et al.
Publicado: (2025)
por: Khazoum, Raymond, et al.
Publicado: (2025)
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks
por: Sadeghian, Sadaf, et al.
Publicado: (2024)
por: Sadeghian, Sadaf, et al.
Publicado: (2024)
Lost in the Middle: An Emergent Property from Information Retrieval Demands in LLMs
por: Salvatore, Nikolaus, et al.
Publicado: (2025)
por: Salvatore, Nikolaus, et al.
Publicado: (2025)
Dynamic Manifold Hopfield Networks for Context-Dependent Associative Memory
por: Li, Chong, et al.
Publicado: (2025)
por: Li, Chong, et al.
Publicado: (2025)
Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
por: He, Jieshi, et al.
Publicado: (2026)
por: He, Jieshi, et al.
Publicado: (2026)
Leveraging The Finite States of Emotion Processing to Study Late-Life Mental Health
por: Huang, Yuanzhe, et al.
Publicado: (2024)
por: Huang, Yuanzhe, et al.
Publicado: (2024)
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding
por: Li, Yuanhao, et al.
Publicado: (2022)
por: Li, Yuanhao, et al.
Publicado: (2022)
Representation biases: will we achieve complete understanding by analyzing representations?
por: Lampinen, Andrew Kyle, et al.
Publicado: (2025)
por: Lampinen, Andrew Kyle, et al.
Publicado: (2025)
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
por: Deng, Zhichao, et al.
Publicado: (2025)
por: Deng, Zhichao, et al.
Publicado: (2025)
Ejemplares similares
-
A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
por: Li, Chengrui, et al.
Publicado: (2025) -
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
por: Li, Chengrui, et al.
Publicado: (2024) -
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
por: Wang, Yule, et al.
Publicado: (2024) -
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions
por: Li, Weihan, et al.
Publicado: (2024) -
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
por: Wang, Yule, et al.
Publicado: (2023)