MULTI-VIEW CAUSAL REPRESENTATION LEARNING WITH PARTIAL OBSERVABILITY
- Dingling Yao
- Danru Xu
- et al.
- 2024
- ICLR 2024
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12 results for Sara Magliacane
Towards the Reusability and Compositionality of Causal Representations
- Davide Talon
- Phillip Lippe
- et al.
- 2024
- CLeaR 2024
AutoTransOP: translating omics signatures without orthologue requirements using deep learning
- Nikolaos Meimetis
- Krista M. Pullen
- et al.
- 2024
- npj Systems Biology and Applications
BISCUIT: Causal Representation Learning from Binary Interactions
- Phillip Lippe
- Sara Magliacane
- et al.
- 2023
- UAI 2023
Graph Switching Dynamical Systems
- Yongtuo Liu
- Sara Magliacane
- et al.
- 2023
- ICML 2023
CITRIS: Causal Identifiability from Temporal Intervened Sequences
- Phillip Lippe
- Sara Magliacane
- et al.
- 2022
- ICML 2022
ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING
- Biwei Huang
- Fan Feng
- et al.
- 2022
- ICLR 2022
Verifiably safe exploration for end-to-end reinforcement learning
- Nathan Hunt
- Nathan Fulton
- et al.
- 2021
- HSCC 2021
Joint causal inference from multiple contexts
- Joris M. Mooij
- Sara Magliacane
- et al.
- 2020
- JMLR
Sample efficient active learning of causal trees
- Kristjan Greenewald
- Dmitriy Katz-Rogozhnikov
- et al.
- 2019
- NeurIPS 2019