activity
20172024
most citedImpact of Detour-Aware Policies on Maximizing Profit in Ridesharing

11 citations · 37 across the 13 of their papers we have counts for

collaborators

20 papers

cs.CV20221 cited

Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies

Priyesh Shukla, Sureshkumar S., Alex C. Stutts +3

We present a novel monocular localization framework by jointly training deep learning-based depth prediction and Bayesian filtering-based pose reasoning. The proposed cross-modal f…

eess.SY2021

ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators

Shamma Nasrin, Ahish Shylendra, Yuti Kadakia +4

This work proposes a novel Energy-Aware Network Operator Search (ENOS) approach to address the energy-accuracy trade-offs of a deep neural network (DNN) accelerator. In recent year…

cs.SI2021

Choice-Aware User Engagement Modeling andOptimization on Social Media

Saketh Reddy Karra, Theja Tulabandhula

We address the problem of maximizing user engagement with content (in the form of like, reply, retweet, and retweet with comments)on the Twitter platform. We formulate the engageme…

cs.RO2021

Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays

Priyesh Shukla, Ankith Muralidhar, Nick Iliev +3

We propose a novel compute-in-memory (CIM)-based ultra-low-power framework for probabilistic localization of insect-scale drones. The conventional probabilistic localization approa…

cs.AI2020

Off-Policy Optimization of Portfolio Allocation Policies under Constraints

Nymisha Bandi, Theja Tulabandhula

The dynamic portfolio optimization problem in finance frequently requires learning policies that adhere to various constraints, driven by investor preferences and risk. We motivate…

cs.IR2020

KATRec: Knowledge Aware aTtentive Sequential Recommendations

Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula

Sequential recommendation systems model dynamic preferences of users based on their historical interactions with platforms. Despite recent progress, modeling short-term and long-te…