{"total":146,"rows":[{"id":"2204.01678","title":"MultiMAE: Multi-modal Multi-task Masked Autoencoders","created":"2022-04-04","cited_by_count":291,"area":null},{"id":"2104.08223","title":"MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement","created":"2021-04-16","cited_by_count":190,"area":null},{"id":"2205.14459","title":"CyCLIP: Cyclic Contrastive Language-Image Pretraining","created":"2022-05-28","cited_by_count":127,"area":null},{"id":"2209.03430","title":"Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions","created":"2022-09-07","cited_by_count":116,"area":null},{"id":"2211.11695","title":"Disentangled Representation Learning","created":"2022-11-21","cited_by_count":112,"area":null},{"id":"2105.02470","title":"Generalized Multimodal ELBO","created":"2021-05-06","cited_by_count":87,"area":null},{"id":"2112.05130","title":"Multimodal Conditional Image Synthesis with Product-of-Experts GANs","created":"2021-12-09","cited_by_count":75,"area":null},{"id":"2306.05268","title":"Factorized Contrastive Learning: Going Beyond Multi-view Redundancy","created":"2023-06-08","cited_by_count":75,"area":null},{"id":"2210.06756","title":"Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features","created":"2022-10-13","cited_by_count":63,"area":null},{"id":"2303.09166","title":"Identifiability Results for Multimodal Contrastive Learning","created":"2023-03-16","cited_by_count":61,"area":null},{"id":"2207.02127","title":"A survey of multimodal deep generative models","created":"2022-07-05","cited_by_count":47,"area":null},{"id":"2102.03014","title":"A Variational Information Bottleneck Approach to Multi-Omics Data Integration","created":"2021-02-05","cited_by_count":40,"area":null},{"id":"2202.03390","title":"Geometric Multimodal Contrastive Representation Learning","created":"2022-02-07","cited_by_count":40,"area":null},{"id":"2111.08456","title":"Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions","created":"2021-11-11","cited_by_count":39,"area":null},{"id":"2110.04121","title":"On the Limitations of Multimodal VAEs","created":"2021-10-08","cited_by_count":38,"area":null},{"id":"2310.08303","title":"Multimodal Variational Auto-encoder based Audio-Visual Segmentation","created":"2023-10-12","cited_by_count":38,"area":null},{"id":"2302.12971","title":"BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding","created":"2023-02-25","cited_by_count":36,"area":null},{"id":"2206.04496","title":"Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization","created":"2022-06-09","cited_by_count":32,"area":null},{"id":"2407.14962","title":"Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives","created":"2024-07-20","cited_by_count":30,"area":null},{"id":"2106.08752","title":"Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation","created":"2021-06-16","cited_by_count":28,"area":null},{"id":"2207.11795","title":"Cross-Modal 3D Shape Generation and Manipulation","created":"2022-07-24","cited_by_count":28,"area":null},{"id":"2505.22483","title":"A Closer Look at Multimodal Representation Collapse","created":"2025-05-28","cited_by_count":28,"area":null},{"id":"2210.15401","title":"Facial Video-based Remote Physiological Measurement via Self-supervised Learning","created":"2022-10-27","cited_by_count":23,"area":null},{"id":"2203.11437","title":"Representation Uncertainty in Self-Supervised Learning as Variational Inference","created":"2022-03-22","cited_by_count":22,"area":null},{"id":"2103.04412","title":"Multimodal VAE Active Inference Controller","created":"2021-03-07","cited_by_count":21,"area":null},{"id":"2106.12570","title":"Learning Multimodal VAEs through Mutual Supervision","created":"2021-06-23","cited_by_count":18,"area":null},{"id":"2208.02894","title":"Redesigning Multi-Scale Neural Network for Crowd Counting","created":"2022-08-04","cited_by_count":17,"area":null},{"id":"2111.02922","title":"Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series","created":"2021-11-04","cited_by_count":16,"area":null},{"id":"2111.05323","title":"Variational Multi-Task Learning with Gumbel-Softmax Priors","created":"2021-11-09","cited_by_count":15,"area":null},{"id":"2112.00976","title":"Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification","created":"2021-12-02","cited_by_count":15,"area":null},{"id":"2212.07892","title":"Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics","created":"2022-12-15","cited_by_count":14,"area":null},{"id":"2403.05300","title":"Unity by Diversity: Improved Representation Learning in Multimodal VAEs","created":"2024-03-08","cited_by_count":14,"area":null},{"id":"2309.08747","title":"Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations","created":"2023-09-15","cited_by_count":13,"area":null},{"id":"2403.13179","title":"Predictive, scalable and interpretable knowledge tracing on structured domains","created":"2024-03-19","cited_by_count":13,"area":null},{"id":"2202.10951","title":"Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations","created":"2022-02-22","cited_by_count":12,"area":null},{"id":"2503.06277","title":"STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification","created":"2025-03-08","cited_by_count":12,"area":null},{"id":"2109.13354","title":"Audio-to-Image Cross-Modal Generation","created":"2021-09-27","cited_by_count":11,"area":null},{"id":"2402.16318","title":"Gradient-Guided Modality Decoupling for Missing-Modality Robustness","created":"2024-02-26","cited_by_count":11,"area":null},{"id":"2303.12706","title":"Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities","created":"2023-03-16","cited_by_count":10,"area":null},{"id":"2208.02183","title":"Multimodal sensor fusion in the latent representation space","created":"2022-08-03","cited_by_count":9,"area":null},{"id":"2310.03111","title":"Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data","created":"2023-10-04","cited_by_count":9,"area":null},{"id":"2410.19378","title":"Unified Cross-Modal Medical Image Synthesis with Hierarchical Mixture of Product-of-Experts","created":"2024-10-25","cited_by_count":9,"area":null},{"id":"2303.14730","title":"Joint fMRI Decoding and Encoding with Latent Embedding Alignment","created":"2023-03-26","cited_by_count":8,"area":null},{"id":"2502.11037","title":"Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs","created":"2025-02-16","cited_by_count":8,"area":null},{"id":"2111.15124","title":"In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains","created":"2021-11-30","cited_by_count":7,"area":null},{"id":"2409.19862","title":"Learning Multimodal Latent Generative Models with Energy-Based Prior","created":"2024-09-30","cited_by_count":7,"area":null},{"id":"2105.00774","title":"Fast Multi-Step Critiquing for VAE-based Recommender Systems","created":"2021-05-03","cited_by_count":6,"area":null},{"id":"2110.03608","title":"How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents","created":"2021-10-07","cited_by_count":6,"area":null},{"id":"2202.03242","title":"Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery","created":"2022-02-07","cited_by_count":6,"area":null},{"id":"2209.15514","title":"Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders","created":"2022-09-30","cited_by_count":6,"area":null},{"id":"2301.00011","title":"eVAE: Evolutionary Variational Autoencoder","created":"2023-01-01","cited_by_count":6,"area":null},{"id":"2303.08863","title":"Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels","created":"2023-03-15","cited_by_count":6,"area":null},{"id":"2305.03582","title":"A multimodal dynamical variational autoencoder for audiovisual speech representation learning","created":"2023-05-05","cited_by_count":6,"area":null},{"id":"2312.03781","title":"Lite-Mind: Towards Efficient and Robust Brain Representation Network","created":"2023-12-06","cited_by_count":6,"area":null},{"id":"2412.19009","title":"FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing","created":"2024-12-26","cited_by_count":6,"area":null},{"id":"2307.12858","title":"Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data","created":"2023-07-24","cited_by_count":5,"area":null},{"id":"2401.11631","title":"Text-to-Image Cross-Modal Generation: A Systematic Review","created":"2024-01-21","cited_by_count":5,"area":null},{"id":"2403.06361","title":"See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI","created":"2024-03-11","cited_by_count":5,"area":null},{"id":"2110.04616","title":"Discriminative Multimodal Learning via Conditional Priors in Generative Models","created":"2021-10-09","cited_by_count":4,"area":null},{"id":"2211.03587","title":"Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments","created":"2022-11-07","cited_by_count":4,"area":null},{"id":"2310.00941","title":"Improved Variational Bayesian Phylogenetic Inference using Mixtures","created":"2023-10-02","cited_by_count":4,"area":null},{"id":"2401.17417","title":"Through-Wall Imaging based on WiFi Channel State Information","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2403.17502","title":"SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder","created":"2024-03-26","cited_by_count":4,"area":null},{"id":"2411.00588","title":"$\\alpha$-TCVAE: On the relationship between Disentanglement and Diversity","created":"2024-11-01","cited_by_count":4,"area":null},{"id":"2509.23548","title":"Disentanglement of Variations with Multimodal Generative Modeling","created":"2025-09-28","cited_by_count":4,"area":null},{"id":"2602.04920","title":"CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning","created":"2026-02-04","cited_by_count":4,"area":null},{"id":"2102.09249","title":"Composable Generative Models","created":"2021-02-18","cited_by_count":3,"area":null},{"id":"2206.02377","title":"BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement","created":"2022-06-06","cited_by_count":3,"area":null},{"id":"2312.00992","title":"Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders","created":"2023-12-02","cited_by_count":3,"area":null},{"id":"2403.06338","title":"Disentangling shared and private latent factors in multimodal Variational Autoencoders","created":"2024-03-10","cited_by_count":3,"area":null},{"id":"2505.01134","title":"Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders","created":"2025-05-02","cited_by_count":3,"area":null},{"id":"2605.06289","title":"Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance","created":"2026-05-07","cited_by_count":3,"area":null},{"id":"2105.01128","title":"Fusing multimodal neuroimaging data with a variational autoencoder","created":"2021-05-03","cited_by_count":2,"area":null},{"id":"2112.10384","title":"Multimodal Adversarially Learned Inference with Factorized Discriminators","created":"2021-12-20","cited_by_count":2,"area":null},{"id":"2204.07537","title":"Unconditional Image-Text Pair Generation with Multimodal Cross Quantizer","created":"2022-04-15","cited_by_count":2,"area":null},{"id":"2207.09185","title":"Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space","created":"2022-07-19","cited_by_count":2,"area":null},{"id":"2208.12909","title":"Pipeline-Invariant Representation Learning for Neuroimaging","created":"2022-08-27","cited_by_count":2,"area":null},{"id":"2209.03048","title":"Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit","created":"2022-09-07","cited_by_count":2,"area":null},{"id":"2302.12636","title":"Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks","created":"2023-02-24","cited_by_count":2,"area":null},{"id":"2304.05542","title":"CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data","created":"2023-04-12","cited_by_count":2,"area":null},{"id":"2403.03069","title":"Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2408.09576","title":"A Markov Random Field Multi-Modal Variational AutoEncoder","created":"2024-08-18","cited_by_count":2,"area":null},{"id":"2410.02365","title":"From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2412.03614","title":"Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective","created":"2024-12-04","cited_by_count":2,"area":null},{"id":"2507.12165","title":"Multi-Component VAE with Gaussian Markov Random Field","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2510.15691","title":"Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2512.12462","title":"Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference","created":"2025-12-13","cited_by_count":2,"area":null},{"id":"2109.07046","title":"A Conditional Generative Matching Model for Multi-lingual Reply Suggestion","created":"2021-09-15","cited_by_count":1,"area":null},{"id":"2210.07522","title":"Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets","created":"2022-10-14","cited_by_count":1,"area":null},{"id":"2211.08405","title":"Multimodal Generative Models for Bankruptcy Prediction Using Textual Data","created":"2022-10-26","cited_by_count":1,"area":null},{"id":"2302.11078","title":"Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting","created":"2023-02-22","cited_by_count":1,"area":null},{"id":"2304.04103","title":"TC-VAE: Uncovering Out-of-Distribution Data Generative Factors","created":"2023-04-08","cited_by_count":1,"area":null},{"id":"2305.11832","title":"Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis","created":"2023-05-19","cited_by_count":1,"area":null},{"id":"2305.19726","title":"Learning Representations without Compositional Assumptions","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2310.07990","title":"Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2401.02141","title":"Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration","created":"2024-01-04","cited_by_count":1,"area":null},{"id":"2403.07456","title":"A tutorial on multi-view autoencoders using the multi-view-AE library","created":"2024-03-12","cited_by_count":1,"area":null},{"id":"2407.01244","title":"CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation","created":"2024-07-01","cited_by_count":1,"area":null},{"id":"2408.10467","title":"Learning Multimodal Latent Space with EBM Prior and MCMC Inference","created":"2024-08-20","cited_by_count":1,"area":null},{"id":"2410.11046","title":"SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data","created":"2024-10-14","cited_by_count":1,"area":null}],"next_cursor":"100"}