Andrea Schioppa

13 papers A* 3Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
Efficient Sketches for Training Data Attribution and Studying the Loss Landscape.
NeurIPS
Andrea Schioppa
2024 J jnl
Gradient Sketches for Training Data Attribution and Studying the Loss Landscape.
CoRR
Andrea Schioppa
2024 J jnl
Model Integrity when Unlearning with T2I Diffusion Models.
CoRR
Andrea Schioppa, Emiel Hoogeboom, Jonathan Heek
2023 J jnl
Cross-Lingual Supervision improves Large Language Models Pre-training.
CoRR
Andrea Schioppa, Xavier Garcia, Orhan Firat
2023 J jnl
Stacking Diverse Architectures to Improve Machine Translation.
Trans. Mach. Learn. Res.
Andrea Schioppa, Nal Kalchbrenner
2023 A* conf
Theoretical and Practical Perspectives on what Influence Functions Do.
NeurIPS
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
2023 J jnl
Theoretical and Practical Perspectives on what Influence Functions Do.
CoRR
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
2022 A* conf
Scaling Up Influence Functions.
AAAI
Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov
2021 — conf
Controlling Machine Translation for Multiple Attributes with Additive Interventions.
EMNLP (1)
Andrea Schioppa, David Vilar, Artem Sokolov, Katja Filippova
2021 J jnl
Scaling Up Influence Functions.
CoRR
Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov
2019 J jnl
Distributed Function Minimization in Apache Spark.
CoRR
Andrea Schioppa
2019 J jnl
Learning to Transport with Neural Networks.
CoRR
Andrea Schioppa
2018 J jnl
Optimality of the final model found via Stochastic Gradient Descent.
CoRR
Andrea Schioppa