Search Results for author: Mayank Daswani

Found 4 papers, 0 papers with code

Plots Unlock Time-Series Understanding in Multimodal Models

no code implementations3 Oct 2024 Mayank Daswani, Mathias M. J. Bellaiche, Marc Wilson, Desislav Ivanov, Mikhail Papkov, Eva Schnider, Jing Tang, Kay Lamerigts, Gabriela Botea, Michael A. Sanchez, Yojan Patel, Shruthi Prabhakara, Shravya Shetty, Umesh Telang

While multimodal foundation models can now natively work with data beyond text, they remain underutilized in analyzing the considerable amounts of multi-dimensional time-series data in fields like healthcare, finance, and social sciences, representing a missed opportunity for richer, data-driven insights.

Activity Recognition Time Series

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning

no code implementations9 May 2023 Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Greg S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila

We compared the DLS with the office-based refit-WHO score, which adopts the shared predictors from WHO and Globorisk scores (age, sex, smoking status, height, weight and systolic blood pressure) but refitted on the UK Biobank (UKB) cohort.

Deep Learning Photoplethysmography (PPG)

Self-Modification of Policy and Utility Function in Rational Agents

no code implementations10 May 2016 Tom Everitt, Daniel Filan, Mayank Daswani, Marcus Hutter

As we continue to create more and more intelligent agents, chances increase that they will learn about this ability.

General Reinforcement Learning Reinforcement Learning

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