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Sofia Triantafillou
Assistant Professor, University of Crete
Researcher, Institute of Applied and Computational Mathematics, Foundation for Research and Technology - Hellas
Postdoc, Northwestern University
Joined
March 2022
Names
Sofia Triantafillou
(Preferred)
,
Sofia Triantafyllou
,
Sofia Triantafilou
Emails
****@gmail.com
(Confirmed)
,
****@pitt.edu
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Assistant Professor
University of Crete
(uoc.gr)
2021
–
Present
Researcher
Institute of Applied and Computational Mathematics,
Foundation for Research and Technology - Hellas
(iacm.forth.gr)
2021
–
Present
Postdoc
Northwestern University
(northwestern.edu)
2016
–
Present
Assistant Professor
University of Pittsburgh
(pitt.edu)
2018
–
2021
Postdoc
University of Crete
(csd.uoc.gr)
2015
–
2016
Advisors, Relations & Conflicts
Coworker
Greg Cooper
Present
Postdoc Advisor
Konrad Kording
2016
–
2018
PhD Advisor
Ioannis Tsamardinos
2010
–
2015
Expertise
causal inference
2015
–
Present
causal discovery
2010
–
Present
Publications
Transportability Without Graphs: A Bayesian Approach to Identifying s-Admissible Backdoor Sets
Konstantina Lelova
,
Gregory F Cooper
,
Sofia Triantafillou
AISTATS 2026 Poster
Readers:
Everyone
Learning Treatment Effects from Observational and Experimental Data
Sofia Triantafillou
,
Fattaneh Jabbari
,
Gregory F. Cooper
Published: 01 Jan 2023, Last Modified: 06 Feb 2024
AISTATS 2023
Readers:
Everyone
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision
Thuc Duy Le
,
Jiuyong Li
,
Robert Ness
,
Sofia Triantafillou
,
Shohei Shimizu
,
Peng Cui
,
Kun Kuang
,
Jian Pei
,
Fei Wang
,
Mattia Prosperi
Published: 01 Jan 2023, Last Modified: 06 Feb 2024
CDPD 2023
Readers:
Everyone
Reverse engineering neural networks from many partial recordings
Elahe Arani
,
Sofia Triantafillou
,
Konrad Kording
03 May 2022
OpenReview Archive Direct Upload
Readers:
Everyone
The KDD 2021 Workshop on Causal Discovery (CD2021)
Thuc Duy Le
,
Jiuyong Li
,
Gregory Cooper
,
Sofia Triantafillou
,
Elias Bareinboim
,
Huan Liu
,
Negar Kiyavash
Published: 01 Jan 2021, Last Modified: 18 May 2023
KDD 2021
Readers:
Everyone
Causal Markov Boundaries
Sofia Triantafillou
,
Fattaneh Jabbari
,
Gregory Cooper
Published: 01 Jan 2021, Last Modified: 06 Feb 2024
CoRR 2021
Readers:
Everyone
Using Causal Analysis for Conceptual Deep Learning Explanation
Sumedha Singla
,
Stephen Wallace
,
Sofia Triantafillou
,
Kayhan Batmanghelich
Published: 01 Jan 2021, Last Modified: 06 Feb 2024
CoRR 2021
Readers:
Everyone
Learning Adjustment Sets from Observational and Limited Experimental Data
Sofia Triantafillou
,
Gregory Cooper
Published: 01 Jan 2021, Last Modified: 06 Feb 2024
AAAI 2021
Readers:
Everyone
Causal and interventional Markov boundaries
Sofia Triantafillou
,
Fattaneh Jabbari
,
Gregory F. Cooper
Published: 01 Jan 2021, Last Modified: 06 Feb 2024
UAI 2021
Readers:
Everyone
Using Causal Analysis for Conceptual Deep Learning Explanation
Sumedha Singla
,
Stephen Wallace
,
Sofia Triantafillou
,
Kayhan Batmanghelich
Published: 01 Jan 2021, Last Modified: 06 Feb 2024
MICCAI (3) 2021
Readers:
Everyone
View all 18 publications
Co-Authors
Anna Roumpelaki
Benjamin James Lansdell
Elahe Arani
Elias Bareinboim
Fattaneh Jabbari
Fei Wang
Giorgos Athineou
Giorgos Borboudakis
Giorgos Papoutsoglou
Gregory Cooper
Gregory F Cooper
Gregory F. Cooper
Huan Liu
Ioannis Basdekis
Ioannis Tsamardinos
Jian Pei
Jiuyong Li
Kayhan Batmanghelich
Konrad Kording
Konrad P. Körding
Konstantina Biza
Konstantina Lelova
Konstantinos Tsirlis
Kun Kuang
Mattia Prosperi
View all 33 co-authors