Search Results for author: Nimit Sohoni

Found 3 papers, 1 papers with code

Monarch: Expressive Structured Matrices for Efficient and Accurate Training

1 code implementation1 Apr 2022 Tri Dao, Beidi Chen, Nimit Sohoni, Arjun Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré

To address these issues, we propose a class of matrices (Monarch) that is hardware-efficient (they are parameterized as products of two block-diagonal matrices for better hardware utilization) and expressive (they can represent many commonly used transforms).

Language Modelling MRI Reconstruction

Ivy: Instrumental Variable Synthesis for Causal Inference

no code implementations11 Apr 2020 Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré

To relax these assumptions, we propose Ivy, a new method to combine IV candidates that can handle correlated and invalid IV candidates in a robust manner.

Causal Inference Epidemiology

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

no code implementations7 Feb 2018 Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher

We train and validate a semi-supervised, multi-task LSTM on 57, 675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple medical conditions, including diabetes (0. 8451), high cholesterol (0. 7441), high blood pressure (0. 8086), and sleep apnea (0. 8298).

Cannot find the paper you are looking for? You can Submit a new open access paper.