Vanessa D'Amario

According to our database, Vanessa D'Amario authored at least 12 papers between 2017 and 2026.

Collaborative distances:

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

2026

Measuring Stability Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology.

Vanessa D'Amario, Randy Daniel, Alessandro Zanetti, Dhruv Edamadaka, Nitya Alaparthy, Joshua Tarkoff

CoRR, January, 2026

2024

Transformer Module Networks for Systematic Generalization in Visual Question Answering.

Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

D3: Data Diversity Design for Systematic Generalization in Visual Question Answering.

Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix

Trans. Mach. Learn. Res., 2024

2022

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions.

Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

Frontiers Comput. Neurosci., 2022

2021

The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions.

Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix

CoRR, 2021

How Modular should Neural Module Networks Be for Systematic Generalization?

Vanessa D'Amario, Tomotake Sasaki, Xavier Boix

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Frivolous Units: Wider Networks Are Not Really That Wide.

Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Machine Learning for Understanding Focal Epilepsy.

Vanessa D'Amario

PhD thesis, 2020

2019

Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks.

Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman

CoRR, 2019

2018

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy.

Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili

Proceedings of the Machine Learning for Healthcare Conference, 2018

Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings.

Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017

Hey there's DALILA: a DictionAry LearnIng LibrAry.

Veronica Tozzo, Vanessa D'Amario, Annalisa Barla

Proceedings of the 2017 Imperial College Computing Student Workshop, 2017