Thomas Icard
13 papers · 2018–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (14)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(11)
Core AI
(11)
Machine Learning
(5)
Knowledge & Reasoning
(4)
Reasoning
(4)
Learning Types
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Generation
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
causal inference
(8)
causal abstraction
(7)
structural causal model
(4)
causal reasoning
(2)
neural network
(2)
structural equation model
(2)
causal mechanism
(2)
causal hierarchy
(2)
named entity recognition
(1)
generative model
(1)
natural language inference
(1)
graphical model
(1)
probabilistic reasoning
(1)
language model
(1)
causal structure
(1)
knowledge distillation
(1)
mechanistic interpretability
(1)
model alignment
(1)
distributed representation
(1)
counterfactual reasoning
(1)
Papers
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
JMLR 2025
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
ICML 2025
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
CLeaR 2024
Causal Abstraction with Soft Interventions
CLeaR 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
NeurIPS 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
NeurIPS 2023
Causal Distillation for Language Models
NAACL 2022
Inducing Causal Structure for Interpretable Neural Networks
ICML 2022
A Topological Perspective on Causal Inference
NeurIPS 2021
Causal Abstractions of Neural Networks
NeurIPS 2021
Probabilistic Reasoning Across the Causal Hierarchy
AAAI 2020
On Open-Universe Causal Reasoning
UAI 2019
On the Conditional Logic of Simulation Models
IJCAI 2018