Caracal: Causal Architecture via Spectral Mixing
Fuente:
arXiv
Guardado en:
| Autores principales: | Gan, Bingzheng, Zhang, Tianyi, Li, Yusu, Huang, Jing, Shi, Wei, Ding, Yangkai, Yu, Tao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MASTER: A Multi-Agent System with LLM Specialized MCTS
por: Gan, Bingzheng, et al.
Publicado: (2025)
por: Gan, Bingzheng, et al.
Publicado: (2025)
Test-Time Learning of Causal Structure from Interventional Data
por: Chen, Wei, et al.
Publicado: (2026)
por: Chen, Wei, et al.
Publicado: (2026)
General and Efficient Steering of Unconditional Diffusion
por: Wang, Qingsong, et al.
Publicado: (2026)
por: Wang, Qingsong, et al.
Publicado: (2026)
Test Time Training for Supervised Causal Learning
por: Deng, Zizhen, et al.
Publicado: (2026)
por: Deng, Zizhen, et al.
Publicado: (2026)
Causal-aware Graph Neural Architecture Search under Distribution Shifts
por: Li, Peiwen, et al.
Publicado: (2024)
por: Li, Peiwen, et al.
Publicado: (2024)
Spectral Greedy Coresets for Graph Neural Networks
por: Ding, Mucong, et al.
Publicado: (2024)
por: Ding, Mucong, et al.
Publicado: (2024)
Efficient Transfer Learning via Causal Bounds
por: Gong, Xueping, et al.
Publicado: (2023)
por: Gong, Xueping, et al.
Publicado: (2023)
Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning
por: Ma, Pingchuan, et al.
Publicado: (2026)
por: Ma, Pingchuan, et al.
Publicado: (2026)
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
por: Lin, Haohong, et al.
Publicado: (2024)
por: Lin, Haohong, et al.
Publicado: (2024)
Merge to Mix: Mixing Datasets via Model Merging
por: Tao, Zhixu Silvia, et al.
Publicado: (2025)
por: Tao, Zhixu Silvia, et al.
Publicado: (2025)
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
por: Cai, Ruichu, et al.
Publicado: (2024)
por: Cai, Ruichu, et al.
Publicado: (2024)
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
por: Cai, Ruichu, et al.
Publicado: (2025)
por: Cai, Ruichu, et al.
Publicado: (2025)
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy
por: Ding, Kaihua, et al.
Publicado: (2024)
por: Ding, Kaihua, et al.
Publicado: (2024)
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
por: Zhang, Yuanyun, et al.
Publicado: (2025)
por: Zhang, Yuanyun, et al.
Publicado: (2025)
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
por: Ding, Yanna, et al.
Publicado: (2024)
por: Ding, Yanna, et al.
Publicado: (2024)
Protein-Conditioned Multi-Objective Reinforcement Learning for Full-Length mRNA Design
por: Shao, Zixi, et al.
Publicado: (2026)
por: Shao, Zixi, et al.
Publicado: (2026)
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
por: Ling, Zhaolong, et al.
Publicado: (2021)
por: Ling, Zhaolong, et al.
Publicado: (2021)
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)
por: Ma, Pingchuan, et al.
Publicado: (2024)
por: Ma, Pingchuan, et al.
Publicado: (2024)
Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling
por: Zhao, Chenran, et al.
Publicado: (2026)
por: Zhao, Chenran, et al.
Publicado: (2026)
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities
por: Feng, Tao, et al.
Publicado: (2025)
por: Feng, Tao, et al.
Publicado: (2025)
Step-by-Step Causality: Transparent Causal Discovery with Multi-Agent Tree-Query and Adversarial Confidence Estimation
por: Ding, Ziyi, et al.
Publicado: (2026)
por: Ding, Ziyi, et al.
Publicado: (2026)
Coefficient Decomposition for Spectral Graph Convolution
por: Huang, Feng, et al.
Publicado: (2024)
por: Huang, Feng, et al.
Publicado: (2024)
Graph-Based Fraud Detection with Dual-Path Graph Filtering
por: He, Wei, et al.
Publicado: (2026)
por: He, Wei, et al.
Publicado: (2026)
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
por: Zhang, Jiaru, et al.
Publicado: (2025)
por: Zhang, Jiaru, et al.
Publicado: (2025)
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
por: Huang, Jing, et al.
Publicado: (2025)
por: Huang, Jing, et al.
Publicado: (2025)
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data
por: Wang, Danyang, et al.
Publicado: (2024)
por: Wang, Danyang, et al.
Publicado: (2024)
OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
por: Lyu, Bo, et al.
Publicado: (2025)
por: Lyu, Bo, et al.
Publicado: (2025)
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
por: Zeng, Fanlong, et al.
Publicado: (2025)
por: Zeng, Fanlong, et al.
Publicado: (2025)
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
por: Li, Wenyun, et al.
Publicado: (2025)
por: Li, Wenyun, et al.
Publicado: (2025)
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
por: Zhang, Tao, et al.
Publicado: (2025)
por: Zhang, Tao, et al.
Publicado: (2025)
A Recipe for Causal Graph Regression: Confounding Effects Revisited
por: Yin, Yujia, et al.
Publicado: (2025)
por: Yin, Yujia, et al.
Publicado: (2025)
APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents
por: Chen, Jun Yu, et al.
Publicado: (2024)
por: Chen, Jun Yu, et al.
Publicado: (2024)
CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
por: Ji, Han, et al.
Publicado: (2025)
por: Ji, Han, et al.
Publicado: (2025)
Humanoid-inspired Causal Representation Learning for Domain Generalization
por: Tao, Ze, et al.
Publicado: (2025)
por: Tao, Ze, et al.
Publicado: (2025)
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
por: Ye, Guangzai, et al.
Publicado: (2024)
por: Ye, Guangzai, et al.
Publicado: (2024)
Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference
por: Ding, Yifu, et al.
Publicado: (2026)
por: Ding, Yifu, et al.
Publicado: (2026)
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
por: Wang, Dingrong, et al.
Publicado: (2024)
por: Wang, Dingrong, et al.
Publicado: (2024)
Primal-Dual Spectral Representation for Off-policy Evaluation
por: Hu, Yang, et al.
Publicado: (2024)
por: Hu, Yang, et al.
Publicado: (2024)
Spectral Gating Networks
por: Zhang, Jusheng, et al.
Publicado: (2026)
por: Zhang, Jusheng, et al.
Publicado: (2026)
Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems
por: Chen, Yuepeng, et al.
Publicado: (2024)
por: Chen, Yuepeng, et al.
Publicado: (2024)
Ejemplares similares
-
MASTER: A Multi-Agent System with LLM Specialized MCTS
por: Gan, Bingzheng, et al.
Publicado: (2025) -
Test-Time Learning of Causal Structure from Interventional Data
por: Chen, Wei, et al.
Publicado: (2026) -
General and Efficient Steering of Unconditional Diffusion
por: Wang, Qingsong, et al.
Publicado: (2026) -
Test Time Training for Supervised Causal Learning
por: Deng, Zizhen, et al.
Publicado: (2026) -
Causal-aware Graph Neural Architecture Search under Distribution Shifts
por: Li, Peiwen, et al.
Publicado: (2024)