Andrea Schioppa

According to our database1, Andrea Schioppa authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Model Integrity when Unlearning with T2I Diffusion Models.
CoRR, 2024

Gradient Sketches for Training Data Attribution and Studying the Loss Landscape.
CoRR, 2024

Efficient Sketches for Training Data Attribution and Studying the Loss Landscape.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Stacking Diverse Architectures to Improve Machine Translation.
Trans. Mach. Learn. Res., 2023

Cross-Lingual Supervision improves Large Language Models Pre-training.
CoRR, 2023

Theoretical and Practical Perspectives on what Influence Functions Do.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Scaling Up Influence Functions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Controlling Machine Translation for Multiple Attributes with Additive Interventions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019
Distributed Function Minimization in Apache Spark.
CoRR, 2019

Learning to Transport with Neural Networks.
CoRR, 2019

2018
Optimality of the final model found via Stochastic Gradient Descent.
CoRR, 2018


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