{"total":37,"rows":[{"id":"2205.14065","title":"Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos","created":"2022-05-27","cited_by_count":139,"area":null},{"id":"2307.05596","title":"Compositional Generalization from First Principles","created":"2023-07-10","cited_by_count":64,"area":null},{"id":"2312.00648","title":"SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers","created":"2023-12-01","cited_by_count":49,"area":null},{"id":"2410.13821","title":"Artificial Kuramoto Oscillatory Neurons","created":"2024-10-17","cited_by_count":38,"area":null},{"id":"2211.01177","title":"Neural Systematic Binder","created":"2022-11-02","cited_by_count":37,"area":null},{"id":"2306.00600","title":"Rotating Features for Object Discovery","created":"2023-06-01","cited_by_count":29,"area":null},{"id":"2312.08550","title":"Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks","created":"2023-12-13","cited_by_count":23,"area":null},{"id":"2210.02324","title":"Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images","created":"2022-10-05","cited_by_count":16,"area":null},{"id":"2305.15001","title":"Contrastive Training of Complex-Valued Autoencoders for Object Discovery","created":"2023-05-24","cited_by_count":16,"area":null},{"id":"2402.07376","title":"Unsupervised Discovery of Object-Centric Neural Fields","created":"2024-02-12","cited_by_count":12,"area":null},{"id":"2505.20772","title":"MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning","created":"2025-05-27","cited_by_count":11,"area":null},{"id":"2206.02664","title":"Learning with Capsules: A Survey","created":"2022-06-06","cited_by_count":10,"area":null},{"id":"2311.16943","title":"Image segmentation with traveling waves in an exactly solvable recurrent neural network","created":"2023-11-28","cited_by_count":8,"area":null},{"id":"2405.17283","title":"Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2210.02159","title":"Differentiable Mathematical Programming for Object-Centric Representation Learning","created":"2022-10-05","cited_by_count":6,"area":null},{"id":"2402.05627","title":"Binding Dynamics in Rotating Features","created":"2024-02-08","cited_by_count":5,"area":null},{"id":"2306.10808","title":"Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach","created":"2023-06-19","cited_by_count":4,"area":null},{"id":"2309.16515","title":"Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping","created":"2023-09-28","cited_by_count":4,"area":null},{"id":"2312.04947","title":"Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images","created":"2023-12-08","cited_by_count":4,"area":null},{"id":"2501.12477","title":"Slot-BERT: Self-supervised Object Discovery in Surgical Video","created":"2025-01-21","cited_by_count":4,"area":null},{"id":"2506.01778","title":"unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2211.06027","title":"Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention","created":"2022-11-11","cited_by_count":3,"area":null},{"id":"2410.02094","title":"Tracking objects that change in appearance with phase synchrony","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2502.21077","title":"Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2505.08694","title":"A Survey of Deep Learning for Complex Speech Spectrograms","created":"2025-05-13","cited_by_count":3,"area":null},{"id":"2511.08368","title":"A Circular Argument : Does RoPE need to be Equivariant for Vision?","created":"2025-11-11","cited_by_count":3,"area":null},{"id":"2604.07904","title":"Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency","created":"2026-04-09","cited_by_count":3,"area":null},{"id":"2402.17077","title":"Parallelized Spatiotemporal Binding","created":"2024-02-26","cited_by_count":2,"area":null},{"id":"2410.20535","title":"Asynchronous Perception Machine For Efficient Test-Time-Training","created":"2024-10-27","cited_by_count":2,"area":null},{"id":"2605.14685","title":"Spontaneous symmetry breaking and Goldstone modes for deep information propagation","created":"2026-05-14","cited_by_count":2,"area":null},{"id":"2605.20922","title":"Winfree Oscillatory Neural Network","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2502.06034","title":"Traveling Waves Integrate Spatial Information Through Time","created":"2025-02-09","cited_by_count":0,"area":null},{"id":"2511.11668","title":"Do traveling waves make good positional encodings?","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2602.07094","title":"Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.02063","title":"ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2603.11246","title":"When Slots Compete: Slot Merging in Object-Centric Learning","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2609.26046","title":"Canonical locks that encode part-whole hierarchies","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}