Elisa Nguyen

15 papers A* 1C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Better Training Data Attribution via Better Inverse Hessian-Vector Products.
CoRR
Andrew Wang, Elisa Nguyen, Runshi Yang, Juhan Bae, Sheila A. McIlraith, Roger B. Grosse
2025 J jnl
Un-Attributability: Computing Novelty From Retrieval & Semantic Similarity.
CoRR
Philipp Davydov, Ameya Prabhu, Matthias Bethge, Elisa Nguyen, Seong Joon Oh
2024 J jnl
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models.
CoRR
Adam Davies, Elisa Nguyen, Michael Simeone, Erik Johnston, Martin Gubri
2024 J jnl
Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts.
CoRR
Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen, Seong Joon Oh
2024 J jnl
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI.
CoRR
Elisa Nguyen, Johannes Bertram, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh
2023 A* conf
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning.
NeurIPS
Elisa Nguyen, Minjoon Seo, Seong Joon Oh
2023 J jnl
A Bayesian Perspective On Training Data Attribution.
CoRR
Elisa Nguyen, Minjoon Seo, Seong Joon Oh
2023 J jnl
Exploring Practitioner Perspectives On Training Data Attribution Explanations.
CoRR
Elisa Nguyen, Evgenii Kortukov, Jean Y. Song, Seong Joon Oh
2023 — conf
Feature Attribution Explanations for Spiking Neural Networks.
CogMI
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
2023 J jnl
Feature Attribution Explanations for Spiking Neural Networks.
CoRR
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
2023 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
ACM Comput. Surv.
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023 J jnl
Trustworthy Machine Learning.
CoRR
Bálint Mucsányi, Michael Kirchhof, Elisa Nguyen, Alexander Rubinstein, Seong Joon Oh
2022 J jnl
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.
CoRR
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2020 — conf
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.
CogMI
Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert
2020 C conf
Pokérator - Unveil your inner Pokémon.
ICCC
Dominique Geissler, Elisa Nguyen, Daphne Theodorakopoulos, Lorenzo Gatti