Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Girish, N."'
Autor:
Patra, Braja Gopal, Lepow, Lauren A., Kumar, Praneet Kasi Reddy Jagadeesh, Vekaria, Veer, Sharma, Mohit Manoj, Adekkanattu, Prakash, Fennessy, Brian, Hynes, Gavin, Landi, Isotta, Sanchez-Ruiz, Jorge A., Ryu, Euijung, Biernacka, Joanna M., Nadkarni, Girish N., Talati, Ardesheer, Weissman, Myrna, Olfson, Mark, Mann, J. John, Charney, Alexander W., Pathak, Jyotishman
Background: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented as narrative clinical notes r
Externí odkaz:
http://arxiv.org/abs/2403.17199
Autor:
Gulamali, Faris F., Sawant, Ashwin S., Liharska, Lora, Horowitz, Carol R., Chan, Lili, Kovatch, Patricia H., Hofer, Ira, Singh, Karandeep, Richardson, Lynne D., Mensah, Emmanuel, Charney, Alexander W, Reich, David L., Hu, Jianying, Nadkarni, Girish N.
The adoption of diagnosis and prognostic algorithms in healthcare has led to concerns about the perpetuation of bias against disadvantaged groups of individuals. Deep learning methods to detect and mitigate bias have revolved around modifying models,
Externí odkaz:
http://arxiv.org/abs/2311.03425
Autor:
Molloy, Timothy L., Nair, Girish N.
We investigate partially observed Markov decision processes (POMDPs) with cost functions regularized by entropy terms describing state, observation, and control uncertainty. Standard POMDP techniques are shown to offer bounded-error solutions to thes
Externí odkaz:
http://arxiv.org/abs/2112.12255
Autor:
Molloy, Timothy L., Nair, Girish N.
We study the problem of controlling a partially observed Markov decision process (POMDP) to either aid or hinder the estimation of its state trajectory. We encode the estimation objectives via the smoother entropy, which is the conditional entropy of
Externí odkaz:
http://arxiv.org/abs/2108.10227
An approach is proposed for inferring Granger causality between jointly stationary, Gaussian signals from quantized data. First, a necessary and sufficient rank criterion for the equality of two conditional Gaussian distributions is proved. Assuming
Externí odkaz:
http://arxiv.org/abs/2106.01513
Autor:
Molloy, Timothy L., Nair, Girish N.
In this paper, we consider the problem of controlling a partially observed Markov decision process (POMDP) in order to actively estimate its state trajectory over a fixed horizon with minimal uncertainty. We pose a novel active smoothing problem in w
Externí odkaz:
http://arxiv.org/abs/2104.01545
Autor:
Molloy, Timothy L., Nair, Girish N.
In this paper we investigate the problem of controlling a partially observed stochastic dynamical system such that its state is difficult to infer using a (fixed-interval) Bayesian smoother. This problem arises naturally in applications in which it i
Externí odkaz:
http://arxiv.org/abs/2103.12881
Autor:
Wanyan, Tingyi, Honarvar, Hossein, Jaladanki, Suraj K., Zang, Chengxi, Naik, Nidhi, Somani, Sulaiman, De Freitas, Jessica K., Paranjpe, Ishan, Vaid, Akhil, Miotto, Riccardo, Nadkarni, Girish N., Zitnik, Marinka, ArifulAzad, Wang, Fei, Ding, Ying, Glicksberg, Benjamin S.
Machine Learning (ML) models typically require large-scale, balanced training data to be robust, generalizable, and effective in the context of healthcare. This has been a major issue for developing ML models for the coronavirus-disease 2019 (COVID-1
Externí odkaz:
http://arxiv.org/abs/2101.04013
Publikováno v:
IEEE Robotics and Automation Letters 6(2):588-595, 2021
A key challenge in visual place recognition (VPR) is recognizing places despite drastic visual appearance changes due to factors such as time of day, season, weather or lighting conditions. Numerous approaches based on deep-learnt image descriptors,
Externí odkaz:
http://arxiv.org/abs/2010.09228
It is known that for a discrete channel with correlated additive noise, the ordinary capacity with or without feedback both equal $ \log q-\mathcal{H} (Z) $, where $ \mathcal{H}(Z) $ is the entropy rate of the noise process $ Z $ and $ q $ is the alp
Externí odkaz:
http://arxiv.org/abs/2006.00892