activity
20192023
most citedPay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CC2023

On the Rational Degree of Boolean Functions and Applications

Vishnu Iyer, Siddhartha Jain, Robin Kothari +5

We study a natural complexity measure of Boolean functions known as the rational degree. Denoted , it is the minimal degree of a rational function that is equal t…

cs.CC2022

Searching for Regularity in Bounded Functions

Siddharth Iyer, Michael Whitmeyer

Given a function on , we study the following problem. What is the largest affine subspace such that when restricted to , all the non-…

cs.DS2021★ 1 cited

Junta Distance Approximation with Sub-Exponential Queries

Vishnu Iyer, Avishay Tal, Michael Whitmeyer

Leveraging tools of De, Mossel, and Neeman [FOCS, 2019], we show two different results pertaining to the \emph{tolerant testing} of juntas. Given black-box access to a Boolean func…

eess.SY2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries

Saehong Park, Andrea Pozzi, Michael Whitmeyer +4

One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without irreversibly damaging the cells. This can fall in…

cs.DS2019

Algorithmic Discrepancy Minimization

Michael Whitmeyer, Jonathan Liu

This report will be a literature review on a result in algorithmic discrepancy theory. We will begin by providing a quick overview on discrepancy theory and some major results in t…

cs.LG2019★ 1 cited

Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries

Samuel Paradis, Michael Whitmeyer

We use data on 124 batteries released by Stanford University to first try to solve the binary classification problem of determining if a battery is "good" or "bad" given only the f…