← Authors

Sara Magliacane

20 papers · 2016–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (21) πŸŒ‰ Interdisciplinary Bridge πŸ‘‘ Triple Crown 🧬 Topic Evolution ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (58) πŸ’Ž Century Club (20) πŸ“ˆ Trend Setter

Conferences

NIPS (7) ICML (4) ICLR (3) CLEAR (2) UAI (2) AISTATS (1) JMLR (1)

Top co-authors

Tom Claassen (4) Phillip Lippe (4) Efstratios Gavves (4) Taco Cohen (3) Joris M. Mooij (3) Sindy LΓΆwe (3) Yuki M Asano (3) Fan Feng (3) Perouz Taslakian (2) Kristjan Greenewald (2)

Keywords

causal discovery (5) causal inference (3) representation learning (2) causal representation learning (2) transfer learning (1) domain adaptation (1) factor analysis (1) normalizing flow (1) temporal sequence (1) embodied ai (1) compositional generalization (1) time series (1) experimental design (1) causal structure (1) graphical model (1) conditional distribution (1) conditional probability (1) dynamical system (1) structure learning (1) reinforcement learning (1)

Papers

SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph AISTATS 2025
Combining Causal Models for More Accurate Abstractions of Neural Networks CLEAR 2025
Multi-View Causal Representation Learning with Partial Observability ICLR 2024
A Sparsity Principle for Partially Observable Causal Representation Learning ICML 2024
Learning Causal Abstractions of Linear Structural Causal Models UAI 2024
Amortized Equation Discovery in Hybrid Dynamical Systems ICML 2024
Towards the Reusability and Compositionality of Causal Representations CLEAR 2024
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems ICLR 2023
BISCUIT: Causal Representation Learning from Binary Interactions UAI 2023
Graph Switching Dynamical Systems ICML 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning NIPS 2023
Modulated Neural ODEs NIPS 2023
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning ICLR 2022
Factored Adaptation for Non-Stationary Reinforcement Learning NIPS 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences ICML 2022
Active Structure Learning of Causal DAGs via Directed Clique Trees NIPS 2020
Joint Causal Inference from Multiple Contexts JMLR 2020
Sample Efficient Active Learning of Causal Trees NIPS 2019
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NIPS 2018
Ancestral Causal Inference NIPS 2016