Vanessa D'Amario

15 papers A* 2Journal 9Unranked 3

Year	Rank	Type	Title / 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