Vanessa D'Amario

15 papers A* 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Measuring Stability Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology.
CoRR
Vanessa D'Amario, Randy Daniel, Alessandro Zanetti, Dhruv Edamadaka, Nitya Alaparthy, Joshua Tarkoff
2024 J jnl
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering.
Trans. Mach. Learn. Res.
Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix
2024 J jnl
Transformer Module Networks for Systematic Generalization in Visual Question Answering.
IEEE Trans. Pattern Anal. Mach. Intell.
Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki
2023 J jnl
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering.
CoRR
Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix
2022 J jnl
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions.
Frontiers Comput. Neurosci.
Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix
2022 J jnl
Transformer Module Networks for Systematic Generalization in Visual Question Answering.
CoRR
Moyuru Yamada, Vanessa D'Amario, Kentaro Takemoto, Xavier Boix, Tomotake Sasaki
2021 A* conf
Frivolous Units: Wider Networks Are Not Really That Wide.
AAAI
Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman
2021 J jnl
How Modular Should Neural Module Networks Be for Systematic Generalization?
CoRR
Vanessa D'Amario, Tomotake Sasaki, Xavier Boix
2021 A* conf
How Modular should Neural Module Networks Be for Systematic Generalization?
NeurIPS
Vanessa D'Amario, Tomotake Sasaki, Xavier Boix
2021 J jnl
The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions.
CoRR
Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix
2020 — —
Machine Learning for Understanding Focal Epilepsy.
Vanessa D'Amario
2019 J jnl
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks.
CoRR
Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman
2018 — conf
Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings.
CIBB
Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla
2018 — conf
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy.
MLHC
Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili
2017 — conf
Hey there's DALILA: a DictionAry LearnIng LibrAry.
ICCSW
Veronica Tozzo, Vanessa D'Amario, Annalisa Barla