Cover Image

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chang, Jonathn, Datla, Arya, Goldfeld, Ziv
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Causal Abstractions
by: Xia, Kevin, et al.
Published: (2024)

Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025)

Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
by: Asiaee, Amir
Published: (2026)

The Causal Information Bottleneck and Optimal Causal Variable Abstractions
by: Simoes, Francisco N. F. Q., et al.
Published: (2024)

Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
by: Tsur, Dor, et al.
Published: (2025)

Combining Causal Models for More Accurate Abstractions of Neural Networks
by: Pîslar, Theodora-Mara, et al.
Published: (2025)

Distributionally Robust Causal Abstractions
by: Felekis, Yorgos, et al.
Published: (2025)

Learning Causal Abstractions of Linear Structural Causal Models
by: Massidda, Riccardo, et al.
Published: (2024)

Causal Abstraction Learning based on the Semantic Embedding Principle
by: D'Acunto, Gabriele, et al.
Published: (2025)

EigenBench: A Comparative Behavioral Measure of Value Alignment
by: Chang, Jonathn, et al.
Published: (2025)

Displacement-Sparse Neural Optimal Transport
by: Chen, Peter, et al.
Published: (2025)

Learning Consistent Causal Abstraction Networks
by: D'Acunto, Gabriele, et al.
Published: (2026)

Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
by: Cipollone, Roberto, et al.
Published: (2025)

Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)

How Causal Abstraction Underpins Computational Explanation
by: Geiger, Atticus, et al.
Published: (2025)

Graph Neural Network Causal Explanation via Neural Causal Models
by: Behnam, Arman, et al.
Published: (2024)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)

Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)

Networks of Causal Abstractions: A Sheaf-theoretic Framework
by: D'Acunto, Gabriele, et al.
Published: (2025)

Causal Abstraction in Model Interpretability: A Compact Survey
by: Zhang, Yihao
Published: (2024)

Counterfactual Identifiability via Dynamic Optimal Transport
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)

A Relational Inductive Bias for Dimensional Abstraction in Neural Networks
by: Campbell, Declan, et al.
Published: (2024)

Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids
by: Xiao, Qingyu, et al.
Published: (2025)

Neural Polar Decoders for Deletion Channels
by: Aharoni, Ziv, et al.
Published: (2025)

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
by: Gazdieva, Milena, et al.
Published: (2024)

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
by: Buzun, Nazar, et al.
Published: (2024)

Robust Distribution Learning with Local and Global Adversarial Corruptions
by: Nietert, Sloan, et al.
Published: (2024)

Neural Cluster First, Route Second: One-Shot Capacitated Vehicle Routing via Differentiable Optimal Transport
by: Chin, Samuel J. K., et al.
Published: (2026)

Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks
by: Cho, Wonyong, et al.
Published: (2026)

Individual Causal Inference with Structural Causal Model
by: Chang, Daniel T.
Published: (2025)

Neural Network Approximators for Marginal MAP in Probabilistic Circuits
by: Arya, Shivvrat, et al.
Published: (2024)

Supervised Distributional Reduction via Optimal Transport and Dependence Maximization
by: Ramesh, Sai-Aakash, et al.
Published: (2026)

Computing Approximate Graph Edit Distance via Optimal Transport
by: Cheng, Qihao, et al.
Published: (2024)

Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing
by: Wang, Botao, et al.
Published: (2024)

Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation
by: Hodel, Michael
Published: (2024)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
by: Tarasov, Roman, et al.
Published: (2025)

Optimal Transportation and Alignment Between Gaussian Measures
by: Dandapanthula, Sanjit, et al.
Published: (2025)

Local Causal Discovery for Statistically Efficient Causal Inference
by: Schubert, Mátyás, et al.
Published: (2025)

Localized Observation Abstraction Using Piecewise Linear Spatial Decay for Reinforcement Learning in Combat Simulations
by: Black, Scotty, et al.
Published: (2024)