52 citations · 91 across the 8 of their papers we have counts for
6 papers
Neural-Sim: Learning to Generate Training Data with NeRF
Yunhao Ge, Harkirat Behl, Jiashu Xu +6
Training computer vision models usually requires collecting and labeling vast amounts of imagery under a diverse set of scene configurations and properties. This process is incredi…
Generalization to translation shifts: a study in architectures and augmentations
Suriya Gunasekar
We study how effective data augmentation is at capturing the inductive bias of carefully designed network architectures for spatial translation invariance. We evaluate various imag…
Preference Completion from Partial Rankings
Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
We propose a novel and efficient algorithm for the collaborative preference completion problem, which involves jointly estimating individualized rankings for a set of entities over…
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization
Shalmali Joshi, Suriya Gunasekar, David Sontag +1
This work proposes a new algorithm for automated and simultaneous phenotyping of multiple co-occurring medical conditions, also referred as comorbidities, using clinical notes from…
Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data
Suriya Gunasekar, Joyce C. Ho, Joydeep Ghosh +5
The increased availability of electronic health records (EHRs) have spearheaded the initiative for precision medicine using data driven approaches. Essential to this effort is the…
Consistent Collective Matrix Completion under Joint Low Rank Structure
Suriya Gunasekar, Makoto Yamada, Dawei Yin +1
We address the collective matrix completion problem of jointly recovering a collection of matrices with shared structure from partial (and potentially noisy) observations. To ensur…