Andrea Schioppa

According to our database, Andrea Schioppa authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Covariance-aware sampling for Diffusion Models.

Andrea Schioppa, Tim Salimans

CoRR, May, 2026

2024

Model Integrity when Unlearning with T2I Diffusion Models.

Andrea Schioppa, Emiel Hoogeboom, Jonathan Heek

CoRR, 2024

Gradient Sketches for Training Data Attribution and Studying the Loss Landscape.

Andrea Schioppa

CoRR, 2024

Efficient Sketches for Training Data Attribution and Studying the Loss Landscape.

Andrea Schioppa

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Stacking Diverse Architectures to Improve Machine Translation.

Andrea Schioppa, Nal Kalchbrenner

Trans. Mach. Learn. Res., 2023

Cross-Lingual Supervision improves Large Language Models Pre-training.

Andrea Schioppa, Xavier Garcia, Orhan Firat

CoRR, 2023

Theoretical and Practical Perspectives on what Influence Functions Do.

Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Scaling Up Influence Functions.

Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Controlling Machine Translation for Multiple Attributes with Additive Interventions.

Andrea Schioppa, David Vilar, Artem Sokolov, Katja Filippova

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Distributed Function Minimization in Apache Spark.

Andrea Schioppa

CoRR, 2019

Learning to Transport with Neural Networks.

Andrea Schioppa

CoRR, 2019

2018

Optimality of the final model found via Stochastic Gradient Descent.

Andrea Schioppa

CoRR, 2018