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Teya S. Bergamaschi

Massachusetts Institute of Technology

3 papers hereh-index 483 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
affiliations
  • Massachusetts Institute of Technology

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.AI2026

Towards Expert-level Medical AI for Real-time Video Consultations

Mahvish Nagda, Jihyeon Lee, Matthew Thompson +37

Audio-visual interaction is the standard for patient-physician consultations, enabling natural communication and effective assessment of illness through non-verbal cues. While text…

cs.LG2026

Robustness Beyond Known Groups with Low-rank Adaptation

Abinitha Gourabathina, Hyewon Jeong, Teya Bergamaschi +2

Deep learning models trained to optimize average accuracy often exhibit systematic failures on particular subpopulations. In real world settings, the subpopulations most affected b…

cs.LG2024

MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets

Nassim Oufattole, Teya Bergamaschi, Aleksia Kolo +4

Effective, reliable, and scalable development of machine learning (ML) solutions for structured electronic health record (EHR) data requires the ability to reliably generate high-q…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.