ReplaySCM: A Benchmark for Executable Causal Mechanism Induction from Interventions
Fuente:
arXiv
Guardado en:
| Autor principal: | Batzoglou, Serafim |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ABD: Default Exception Abduction in Finite First Order Worlds
por: Batzoglou, Serafim
Publicado: (2026)
por: Batzoglou, Serafim
Publicado: (2026)
Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism
por: Arkoudas, Konstantine, et al.
Publicado: (2026)
por: Arkoudas, Konstantine, et al.
Publicado: (2026)
Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
por: Panayiotou, Panayiotis, et al.
Publicado: (2026)
por: Panayiotou, Panayiotis, et al.
Publicado: (2026)
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning
por: Wang, Jingwen, et al.
Publicado: (2024)
por: Wang, Jingwen, et al.
Publicado: (2024)
Amortized Active Causal Induction with Deep Reinforcement Learning
por: Annadani, Yashas, et al.
Publicado: (2024)
por: Annadani, Yashas, et al.
Publicado: (2024)
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
por: Liu, Jinyi, et al.
Publicado: (2023)
por: Liu, Jinyi, et al.
Publicado: (2023)
Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction
por: Gonon, Antoine, et al.
Publicado: (2026)
por: Gonon, Antoine, et al.
Publicado: (2026)
Intervention and Conditioning in Causal Bayesian Networks
por: Galhotra, Sainyam, et al.
Publicado: (2024)
por: Galhotra, Sainyam, et al.
Publicado: (2024)
Linear Causal Discovery with Interventional Constraints
por: Guo, Zhigao, et al.
Publicado: (2025)
por: Guo, Zhigao, et al.
Publicado: (2025)
From Gameplay Traces to Game Mechanics: Causal Induction with Large Language Models
por: Jiwatode, Mohit, et al.
Publicado: (2026)
por: Jiwatode, Mohit, et al.
Publicado: (2026)
Test-Time Learning of Causal Structure from Interventional Data
por: Chen, Wei, et al.
Publicado: (2026)
por: Chen, Wei, et al.
Publicado: (2026)
SCOPE: Sequential Causal Optimization of Process Interventions
por: De Moor, Jakob, et al.
Publicado: (2025)
por: De Moor, Jakob, et al.
Publicado: (2025)
Causal Discovery by Interventions via Integer Programming
por: Elrefaey, Abdelmonem, et al.
Publicado: (2024)
por: Elrefaey, Abdelmonem, et al.
Publicado: (2024)
VLM-Guided Experience Replay
por: Sharony, Elad, et al.
Publicado: (2026)
por: Sharony, Elad, et al.
Publicado: (2026)
Experience Replay with Random Reshuffling
por: Fujita, Yasuhiro
Publicado: (2025)
por: Fujita, Yasuhiro
Publicado: (2025)
Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions
por: Okita, Tsuyoshi
Publicado: (2026)
por: Okita, Tsuyoshi
Publicado: (2026)
CIVeX: Causal Intervention Verification for Language Agents
por: Rovai, Fabio
Publicado: (2026)
por: Rovai, Fabio
Publicado: (2026)
Transferring Information Across Interventions in Causal Bayesian Optimization
por: Javidian, Mohammad Ali
Publicado: (2026)
por: Javidian, Mohammad Ali
Publicado: (2026)
Regret-Based Federated Causal Discovery with Unknown Interventions
por: Baldo, Federico, et al.
Publicado: (2025)
por: Baldo, Federico, et al.
Publicado: (2025)
Group Interventions on Deep Networks for Causal Discovery in Subsystems
por: Ahmad, Wasim, et al.
Publicado: (2025)
por: Ahmad, Wasim, et al.
Publicado: (2025)
Investigating the Interplay of Prioritized Replay and Generalization
por: Panahi, Parham Mohammad, et al.
Publicado: (2024)
por: Panahi, Parham Mohammad, et al.
Publicado: (2024)
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
por: Tu, Ruibo, et al.
Publicado: (2024)
por: Tu, Ruibo, et al.
Publicado: (2024)
Interventional Causal Discovery in a Mixture of DAGs
por: Varıcı, Burak, et al.
Publicado: (2024)
por: Varıcı, Burak, et al.
Publicado: (2024)
ARROW: Augmented Replay for RObust World models
por: Alyahya, Abdulaziz, et al.
Publicado: (2026)
por: Alyahya, Abdulaziz, et al.
Publicado: (2026)
Better Generative Replay for Continual Federated Learning
por: Qi, Daiqing, et al.
Publicado: (2023)
por: Qi, Daiqing, et al.
Publicado: (2023)
WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions
por: Srivastava, Sanjari, et al.
Publicado: (2025)
por: Srivastava, Sanjari, et al.
Publicado: (2025)
How Reliable are Causal Probing Interventions?
por: Canby, Marc, et al.
Publicado: (2024)
por: Canby, Marc, et al.
Publicado: (2024)
Causal Machine Learning for Surgical Interventions
por: Tamo, J. Ben, et al.
Publicado: (2025)
por: Tamo, J. Ben, et al.
Publicado: (2025)
A Benchmark of Causal vs. Correlation AI for Predictive Maintenance
por: Dhande, Shaunak, et al.
Publicado: (2025)
por: Dhande, Shaunak, et al.
Publicado: (2025)
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
por: Gu, Alex, et al.
Publicado: (2024)
por: Gu, Alex, et al.
Publicado: (2024)
Mastering the Game of Go with Self-play Experience Replay
por: Liu, Jingbin, et al.
Publicado: (2026)
por: Liu, Jingbin, et al.
Publicado: (2026)
Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
por: Song, Chihyeon, et al.
Publicado: (2025)
por: Song, Chihyeon, et al.
Publicado: (2025)
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
por: Panayiotou, Panayiotis, et al.
Publicado: (2025)
por: Panayiotou, Panayiotis, et al.
Publicado: (2025)
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
por: Ali, Sahara, et al.
Publicado: (2024)
por: Ali, Sahara, et al.
Publicado: (2024)
ROER: Regularized Optimal Experience Replay
por: Li, Changling, et al.
Publicado: (2024)
por: Li, Changling, et al.
Publicado: (2024)
Teaching AI to Remember: Insights from Brain-Inspired Replay in Continual Learning
por: Kim, Jina
Publicado: (2025)
por: Kim, Jina
Publicado: (2025)
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series
por: Castri, Luca, et al.
Publicado: (2024)
por: Castri, Luca, et al.
Publicado: (2024)
Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
por: Ding, Meng, et al.
Publicado: (2026)
por: Ding, Meng, et al.
Publicado: (2026)
When Does Non-Uniform Replay Matter in Reinforcement Learning?
por: Korniak, Michal, et al.
Publicado: (2026)
por: Korniak, Michal, et al.
Publicado: (2026)
Finite-Time Analysis of Temporal Difference Learning with Experience Replay
por: Lim, Han-Dong, et al.
Publicado: (2023)
por: Lim, Han-Dong, et al.
Publicado: (2023)
Ejemplares similares
-
ABD: Default Exception Abduction in Finite First Order Worlds
por: Batzoglou, Serafim
Publicado: (2026) -
Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism
por: Arkoudas, Konstantine, et al.
Publicado: (2026) -
Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
por: Panayiotou, Panayiotis, et al.
Publicado: (2026) -
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning
por: Wang, Jingwen, et al.
Publicado: (2024) -
Amortized Active Causal Induction with Deep Reinforcement Learning
por: Annadani, Yashas, et al.
Publicado: (2024)