Himanshu Choudhary

21 papers B 2C 1Misc 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach.
CoRR
Arishi Orra, Aryan Bhambu, Himanshu Choudhary, Manoj Thakur, Selvaraju Natarajan
2025 J jnl
Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios.
CoRR
Himanshu Choudhary, Arishi Orra, Manoj Thakur
2025 J jnl
Enhancing deep reinforcement learning for stock trading: a reward shaping approach via expert feedback.
Knowl. Inf. Syst.
Arishi Orra, Himanshu Choudhary, Ankit Sharma, Manoj Thakur
2025 B conf
FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities.
IJCNN
Himanshu Choudhary, Arishi Orra, Manoj Thakur
2025 J jnl
FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities.
CoRR
Himanshu Choudhary, Arishi Orra, Manoj Thakur
2025 J jnl
Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach.
Int. J. Comput. Intell. Syst.
Himanshu Choudhary, Arishi Orra, Kartik Sahoo, Manoj Thakur
2024 Misc conf
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction.
SAC
Himanshu Choudhary, Marwan Hassani
2024 — conf
Dynamic Reinforced Ensemble using Bayesian Optimization for Stock Trading.
ICAIF
Arishi Orra, Aryan Bhambu, Himanshu Choudhary, Manoj Thakur
2024 C conf
Outlier-Weighted Traffic Flow Prediction Using Online Autoencoders.
IDEAS
Himanshu Choudhary, Ahmad B. Alkhodre, Marwan Hassani
2023 J jnl
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes.
CoRR
Himanshu Choudhary, Marwan Hassani
2022 J jnl
FairGen: Fair Synthetic Data Generation.
CoRR
Bhushan Chaudhari, Himanshu Choudhary, Aakash Agarwal, Kamna Meena, Tanmoy Bhowmik
2022 — conf
Solving Diagrammatic Reasoning Problems Using Deep Learning.
CVIP (2)
Himanshu Choudhary, Debi Prosad Dogra, Arif Ahmed Sekh
2021 — conf
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages.
ACL (student)
Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Émilie Pagé-Perron, Jacob L. Dahl
2021 J jnl
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages.
CoRR
Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L. Dahl, Émilie Pagé-Perron
2020 B conf
Neural Machine Translation for Low-Resourced Indian Languages.
LREC
Himanshu Choudhary, Shivansh Rao, Rajesh Rohilla
2020 J jnl
Neural Machine Translation for Low-Resourced Indian Languages.
CoRR
Himanshu Choudhary, Shivansh Rao, Rajesh Rohilla
2019 — conf
Graphene Based Futuristic Green Batteries For Energy Harvesting.
TALE
Himanshu Priyadarshi, Himanshu Choudhary, Satya Narayan Agarwal, Ashish Shrivastava, Kulwant Singh, Jamil Akhtar
2018 — conf
NMT based Tamil Translation.
FIRE (Working Notes)
Aditya Kumar Pathak, Himanshu Choudhary, Rajiv Ratn Shah
2018 — conf
Neural Machine Translation for English-Tamil.
WMT (shared task)
Himanshu Choudhary, Aditya Kumar Pathak, Rajiv Ratan Saha, Ponnurangam Kumaraguru
2016 J jnl
Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode.
CoRR
Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta, Dhananjay Yadav, Vikas Pandey, Saurav Sahay, Siddharth Jha, Shubh Agarwal, Aashay Bhise, Raushan Kumar, Aniket Bhushan, Vraj Parikh, Ankit Lohani, Saurabh Dash, Himanshu Choudhary, Rahul Kumar, Anurag Sharma, Arnab Mondal, Chendika Karthik Sai, P. N. Vamshi
2012 J jnl
A enhanced algorithm for floorplan design using evolutionary technique.
Artif. Intell. Res.
Dhiraj, Seema Verma, Rajesh Kumar, Himanshu Choudhary