activity
20122022
most citedImproving Early Sepsis Prediction with Multi Modal Learning

6 citations · 9 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL2022★ 1 cited

Representation Projection Invariance Mitigates Representation Collapse

Anastasia Razdaibiedina, Ashish Khetan, Zohar Karnin +3

Fine-tuning contextualized representations learned by pre-trained language models remains a prevalent practice in NLP. However, fine-tuning can lead to representation degradation (…

cs.CL2021★ 6 cited

Improving Early Sepsis Prediction with Multi Modal Learning

Fred Qin, Vivek Madan, Ujjwal Ratan +4

Sepsis is a life-threatening disease with high morbidity, mortality and healthcare costs. The early prediction and administration of antibiotics and intravenous fluids is considere…

cs.DS2020

Maximizing Determinants under Matroid Constraints

Vivek Madan, Aleksandar Nikolov, Mohit Singh +1

Given vectors and a matroid , we study the problem of finding a basis of such that is maximized…

cs.DS2018

Improving the Integrality Gap for Multiway Cut

Kristóf Bérczi, Karthekeyan Chandrasekaran, Tamás Király +1

In the multiway cut problem, we are given an undirected graph with non-negative edge weights and a collection of terminal nodes, and the goal is to partition the node set of th…

cs.DS2018

Spectrally Robust Graph Isomorphism

Alexandra Kolla, Ioannis Koutis, Vivek Madan +1

We initiate the study of spectral generalizations of the graph isomorphism problem. (a)The Spectral Graph Dominance (SGD) problem: On input of two graphs and does there exi…

cs.DM2016

Approximating Multicut and the Demand Graph

Chandra Chekuri, Vivek Madan

In the minimum Multicut problem, the input is an edge-weighted supply graph and a simple demand graph . Either and are directed (DMulC) or both are undir…