Keshav Goyal

According to our database, Keshav Goyal authored at least 13 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Codes Correcting Transpositions of Consecutive Symbols.

Mladen Kovacevic, Keshav Goyal, Han Mao Kiah

CoRR, September, 2025

Gilbert-Varshamov Bound for Codes in L₁ Metric Using Multivariate Analytic Combinatorics.

Keshav Goyal, Duc Tu Dao, Mladen Kovacevic, Han Mao Kiah

IEEE Trans. Inf. Theory, January, 2025

Thermodynamics of PAM Recognition by Cas9 of <i>Streptococcus pyogenes</i>.

Shreya Bhattacharya, Keshav Goyal, Priyadarshi Satpati

J. Chem. Inf. Model., 2025

Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer.

Sooraj Sathish, Keshav Goyal, Raghuram Bharadwaj Diddigi

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

2024

Auctioning Escape Permits for Multiple Correlated Pollutants Using CMRA.

Keshav Goyal, Sooraj Sathish, Shrisha Rao

CoRR, 2024

Gilbert-Varshamov Bound for Codes in L₁ Metric using Multivariate Analytic Combinatorics.

Keshav Goyal, Duc Tu Dao, Mladen Kovacevic, Han Mao Kiah

CoRR, 2024

2023

Evaluation of the Gilbert-Varshamov Bound using Multivariate Analytic Combinatorics.

Keshav Goyal, Duc Tu Dao, Han Mao Kiah, Mladen Kovacevic

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Sequence Reconstruction Problem for Deletion Channels: A Complete Asymptotic Solution.

Van Long Phuoc Pham, Keshav Goyal, Han Mao Kiah

Proceedings of the IEEE International Symposium on Information Theory, 2022

Evaluating the Gilbert-Varshamov Bound for Constrained Systems.

Keshav Goyal, Han Mao Kiah

Proceedings of the IEEE International Symposium on Information Theory, 2022

2018

Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives.

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Int. J. Mach. Learn. Cybern., 2018

2016

TWSVR: Regression via Twin Support Vector Machine.

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Neural Networks, 2016

2015

Twin Support Vector Machine based Regression.

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Robust Reoptimization of Steiner Trees.

Keshav Goyal, Tobias Mömke

Proceedings of the 35th IARCS Annual Conference on Foundation of Software Technology and Theoretical Computer Science, 2015