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Konark Jain
Title
Cited by
Cited by
Year
Langevin-gradient parallel tempering for Bayesian neural learning
R Chandra, K Jain, RV Deo, S Cripps
Neurocomputing 359, 315-326, 2019
502019
Limit order book simulations: A review
K Jain, N Firoozye, J Kochems, P Treleaven
arXiv preprint arXiv:2402.17359, 2024
212024
Three‐dimensional human activity recognition by forming a movement polygon using posture skeletal data from depth sensor
DK Vishwakarma, K Jain
ETRI Journal 44 (2), 286-299, 2022
212022
Surrogate-assisted parallel tempering for Bayesian neural learning
R Chandra, K Jain, A Kapoor
Engineering Applications in Aritficial Intelligence, 2020
92020
Limit Order Book dynamics and order size modelling using Compound Hawkes Process
K Jain, N Firoozye, J Kochems, P Treleaven
Finance Research Letters 69, 106157, 2024
72024
No tick-size too small: A general method for modelling small tick limit order books
K Jain, JF Muzy, J Kochems, E Bacry
arXiv preprint arXiv:2410.08744, 2024
32024
An Impulse Control Approach to Market Making in a Hawkes LOB Market
K Jain, N Firoozye, J Kochems, P Treleaven
arXiv preprint arXiv:2510.26438, 2025
12025
When AI Trading Agents Compete: Adverse Selection of Meta-Orders by Reinforcement Learning-Based Market Making
AR Jafree, K Jain, N Firoozye
arXiv preprint arXiv:2510.27334, 2025
2025
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Articles 1–8