{"total":47,"rows":[{"id":"2110.10873","title":"Controllable and Compositional Generation with Latent-Space Energy-Based Models","created":"2021-10-21","cited_by_count":64,"area":null},{"id":"2207.10642","title":"Generative Multiplane Images: Making a 2D GAN 3D-Aware","created":"2022-07-21","cited_by_count":57,"area":null},{"id":"2305.14777","title":"Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport","created":"2023-05-24","cited_by_count":41,"area":null},{"id":"2204.12965","title":"Particle algorithms for maximum likelihood training of latent variable models","created":"2022-04-27","cited_by_count":26,"area":null},{"id":"2402.05443","title":"Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport","created":"2024-02-08","cited_by_count":23,"area":null},{"id":"2104.02726","title":"Creativity and Machine Learning: A Survey","created":"2021-04-06","cited_by_count":21,"area":null},{"id":"2209.08739","title":"Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model","created":"2022-09-19","cited_by_count":18,"area":null},{"id":"2303.03023","title":"Guiding Energy-based Models via Contrastive Latent Variables","created":"2023-03-06","cited_by_count":18,"area":null},{"id":"2310.03218","title":"Learning Energy-Based Prior Model with Diffusion-Amortized MCMC","created":"2023-10-05","cited_by_count":13,"area":null},{"id":"2410.03655","title":"Geometric Representation Condition Improves Equivariant Molecule Generation","created":"2024-10-04","cited_by_count":13,"area":null},{"id":"2408.08931","title":"Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach","created":"2024-08-16","cited_by_count":9,"area":null},{"id":"2502.17912","title":"Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs","created":"2025-02-25","cited_by_count":9,"area":null},{"id":"2306.06323","title":"Learning Joint Latent Space EBM Prior Model for Multi-layer Generator","created":"2023-06-10","cited_by_count":8,"area":null},{"id":"2310.02611","title":"Analyzing and Improving Optimal-Transport-based Adversarial Networks","created":"2023-10-04","cited_by_count":8,"area":null},{"id":"2405.16730","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2209.07007","title":"Gromov-Wasserstein Autoencoders","created":"2022-09-15","cited_by_count":7,"area":null},{"id":"2312.02469","title":"Learning Energy-based Model via Dual-MCMC Teaching","created":"2023-12-05","cited_by_count":7,"area":null},{"id":"2207.09535","title":"Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse","created":"2022-07-19","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":"2306.02565","title":"Coupled Variational Autoencoder","created":"2023-06-05","cited_by_count":6,"area":null},{"id":"2310.09604","title":"Learning Hierarchical Features with Joint Latent Space Energy-Based Prior","created":"2023-10-14","cited_by_count":6,"area":null},{"id":"2405.17111","title":"Diffusion Bridge AutoEncoders for Unsupervised Representation Learning","created":"2024-05-27","cited_by_count":6,"area":null},{"id":"2202.01929","title":"Energy-Based Models for Functional Data using Path Measure Tilting","created":"2022-02-04","cited_by_count":5,"area":null},{"id":"2204.13999","title":"Statistical applications of contrastive learning","created":"2022-04-29","cited_by_count":5,"area":null},{"id":"2407.04958","title":"Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models","created":"2024-07-06","cited_by_count":5,"area":null},{"id":"2506.07413","title":"Variational Supervised Contrastive Learning","created":"2025-06-09","cited_by_count":5,"area":null},{"id":"2101.07524","title":"DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training","created":"2021-01-19","cited_by_count":4,"area":null},{"id":"2507.04385","title":"Tractable Representation Learning with Probabilistic Circuits","created":"2025-07-06","cited_by_count":4,"area":null},{"id":"2202.09926","title":"Disentangling Autoencoders (DAE)","created":"2022-02-20","cited_by_count":3,"area":null},{"id":"2211.00321","title":"Improving Variational Autoencoders with Density Gap-based Regularization","created":"2022-11-01","cited_by_count":3,"area":null},{"id":"2311.04071","title":"Energy-Calibrated VAE with Test Time Free Lunch","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2110.13107","title":"The Nuts and Bolts of Adopting Transformer in GANs","created":"2021-10-25","cited_by_count":2,"area":null},{"id":"2410.11281","title":"DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization","created":"2024-10-15","cited_by_count":2,"area":null},{"id":"2510.00260","title":"Learning Energy-based Variational Latent Prior for VAEs","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2209.03077","title":"On the Equality of the ELBO to a Sum of Entropies at Stationary Points of Learning","created":"2022-09-07","cited_by_count":1,"area":null},{"id":"2303.13004","title":"Adversarially Contrastive Estimation of Conditional Neural Processes","created":"2023-03-23","cited_by_count":1,"area":null},{"id":"2309.04433","title":"Variations and Relaxations of Normalizing Flows","created":"2023-09-08","cited_by_count":1,"area":null},{"id":"2404.00785","title":"Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning","created":"2024-03-31","cited_by_count":1,"area":null},{"id":"2404.08392","title":"NC-TTT: A Noise Contrastive Approach for Test-Time Training","created":"2024-04-12","cited_by_count":1,"area":null},{"id":"2407.15687","title":"SoftCVI: Contrastive variational inference with self-generated soft labels","created":"2024-07-22","cited_by_count":1,"area":null},{"id":"2508.17376","title":"ShaLa: Multimodal Shared Latent Space Modelling","created":"2025-08-24","cited_by_count":1,"area":null},{"id":"2303.14096","title":"Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck","created":"2023-03-24","cited_by_count":0,"area":null},{"id":"2308.13731","title":"Learning variational autoencoders via MCMC speed measures","created":"2023-08-26","cited_by_count":0,"area":null},{"id":"2408.03407","title":"Deep Clustering via Distribution Learning","created":"2024-08-06","cited_by_count":0,"area":null},{"id":"2504.17622","title":"Likelihood-Free Variational Autoencoders","created":"2025-04-24","cited_by_count":0,"area":null},{"id":"2506.21731","title":"Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis","created":"2025-06-26","cited_by_count":0,"area":null},{"id":"2507.06092","title":"Taming Data Challenges in ML-based Security Tasks Using Generative AI","created":"2025-07-08","cited_by_count":0,"area":null}],"next_cursor":null}