{"total":44,"rows":[{"id":"2306.00542","title":"Nonparametric Identifiability of Causal Representations from Unknown Interventions","created":"2023-06-01","cited_by_count":106,"area":null},{"id":"2307.02598","title":"Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation","created":"2023-07-05","cited_by_count":58,"area":null},{"id":"2310.05327","title":"Provable Compositional Generalization for Object-Centric Learning","created":"2023-10-09","cited_by_count":41,"area":null},{"id":"2310.02854","title":"Multi-Domain Causal Representation Learning via Weak Distributional Invariances","created":"2023-10-04","cited_by_count":23,"area":null},{"id":"2402.04875","title":"On Provable Length and Compositional Generalization","created":"2024-02-07","cited_by_count":22,"area":null},{"id":"2310.19054","title":"Object-centric architectures enable efficient causal representation learning","created":"2023-10-29","cited_by_count":21,"area":null},{"id":"2411.07784","title":"Interaction Asymmetry: A General Principle for Learning Composable Abstractions","created":"2024-11-12","cited_by_count":20,"area":null},{"id":"2408.09162","title":"Zero-Shot Object-Centric Representation Learning","created":"2024-08-17","cited_by_count":19,"area":null},{"id":"2307.09437","title":"Grounded Object Centric Learning","created":"2023-07-18","cited_by_count":17,"area":null},{"id":"2406.00519","title":"Learning Discrete Concepts in Latent Hierarchical Models","created":"2024-06-01","cited_by_count":17,"area":null},{"id":"2407.15589","title":"Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models","created":"2024-07-22","cited_by_count":14,"area":null},{"id":"2410.06303","title":"Compositional Risk Minimization","created":"2024-10-08","cited_by_count":13,"area":null},{"id":"2406.13371","title":"Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment","created":"2024-06-19","cited_by_count":12,"area":null},{"id":"2504.07092","title":"Are We Done with Object-Centric Learning?","created":"2025-04-09","cited_by_count":11,"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":"2406.07141","title":"Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention","created":"2024-06-11","cited_by_count":9,"area":null},{"id":"2503.15114","title":"DeCaFlow: A deconfounding causal generative model","created":"2025-03-19","cited_by_count":8,"area":null},{"id":"2402.05627","title":"Binding Dynamics in Rotating Features","created":"2024-02-08","cited_by_count":5,"area":null},{"id":"2408.10353","title":"On the Identifiability of Sparse ICA without Assuming Non-Gaussianity","created":"2024-08-19","cited_by_count":5,"area":null},{"id":"2404.15721","title":"SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision","created":"2024-04-24","cited_by_count":4,"area":null},{"id":"2405.11743","title":"A General Theory for Compositional Generalization","created":"2024-05-20","cited_by_count":4,"area":null},{"id":"2501.09163","title":"Towards Understanding Extrapolation: a Causal Lens","created":"2025-01-15","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":"2510.17040","title":"Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability","created":"2025-10-19","cited_by_count":4,"area":null},{"id":"2306.16334","title":"On the Identifiability of Quantized Factors","created":"2023-06-28","cited_by_count":3,"area":null},{"id":"2509.22196","title":"Mechanistic Independence: A Principle for Identifiable Disentangled Representations","created":"2025-09-26","cited_by_count":3,"area":null},{"id":"2510.00136","title":"Nonparametric Identification of Latent Concepts","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2405.20482","title":"Sparsity regularization via tree-structured environments for disentangled representations","created":"2024-05-30","cited_by_count":2,"area":null},{"id":"2409.13728","title":"Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts","created":"2024-09-09","cited_by_count":2,"area":null},{"id":"2605.17827","title":"Content-Style Identification via Differential Independence","created":"2026-05-18","cited_by_count":2,"area":null},{"id":"2306.14861","title":"Leveraging Task Structures for Improved Identifiability in Neural Network Representations","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2510.04758","title":"Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2510.21402","title":"Disentangled Representation Learning via Modular Compositional Bias","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2512.08854","title":"Is Generation Required for Data-Efficient Perception?","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2512.10669","title":"Learning by Analogy: A Causal Framework for Composition Generalization","created":"2025-12-11","cited_by_count":1,"area":null},{"id":"2410.04940","title":"Next state prediction gives rise to entangled, yet compositional representations of objects","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2410.22559","title":"Disentanglement as Identifiable Pushforward Factorisation","created":"2024-10-29","cited_by_count":0,"area":null},{"id":"2504.18522","title":"Extrapolation Guarantees for Perturbation Modeling Under the Additive Latent Shift Assumption","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2506.07806","title":"Identifiable Object Representations under Spatial Ambiguities","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2510.24672","title":"Eigenfunction Extraction for Ordered Representation Learning","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2512.10720","title":"Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2602.16689","title":"Are Object-Centric Representations Better At Compositional Generalization?","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2607.05325","title":"CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.23182","title":"Beyond ICA: Identifiability by Symmetry Breaking","created":"2026-07-25","cited_by_count":0,"area":null}],"next_cursor":null}