Gunjan Kumar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 26

Top Topics

Machine Learning Models

Filled Function Method

Top Venues

Theor. Comput. Sci.

Publications

Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar, Kuldeep S. Meel
Equivalence Testing: The Power of Bounded Adaptivity. CoRR (2024)
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar, Kuldeep S. Meel
Equivalence Testing: The Power of Bounded Adaptivity. AISTATS (2024)
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar
Tight Lower Bound on Equivalence Testing in Conditional Sampling Model. SODA (2024)
Gunjan Kumar, Jyoti Prakash Singh, Amit Kumar Singh
Autoencoder-Based Feature Extraction for Identifying Hate Speech Spreaders in Social Media. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Diptarka Chakraborty, Gunjan Kumar, Kuldeep S. Meel
Support Size Estimation: The Power of Conditioning. MFCS (2023)
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar
Tight Lower Bound on Equivalence Testing in Conditional Sampling Model. CoRR (2023)
Gunjan Kumar, Kuldeep S. Meel, Yash Pote
Tolerant Testing of High-Dimensional Samplers with Subcube Conditioning. CoRR (2023)
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar, Kuldeep S. Meel
Approximate Model Counting: Is SAT Oracle More Powerful Than NP Oracle? ICALP (2023)
Archana Kumari, Archana Garge, Priyanshu Raj, Gunjan Kumar, Jyoti Prakash Singh, Mohammad Alryalat
Classification of Offensive Tweet in Marathi Language Using Machine Learning Models. CICBA (1) (2023)
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar, Kuldeep S. Meel
Approximate Model Counting: Is SAT Oracle More Powerful than NP Oracle? CoRR (2023)
Gunjan Kumar, Jyoti Prakash Singh
Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages using Machine Learning Models. FIRE (Working Notes) (2022)
Diptarka Chakraborty, Gunjan Kumar, Kuldeep S. Meel
Support Size Estimation: The Power of Conditioning. CoRR (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. CoRR (2022)
Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems. NeurIPS (2022)
Antonios Antoniadis, Gunjan Kumar, Nikhil Kumar
Skeletons and Minimum Energy Scheduling. CoRR (2021)
Antonios Antoniadis, Gunjan Kumar, Nikhil Kumar
Skeletons and Minimum Energy Scheduling. ISAAC (2021)
Gunjan Kumar, Houssem Jerbi, Michael P. O'Mahony
A sequence-based and context modelling framework for recommendation. Expert Syst. Appl. 175 (2021)
Gunjan Kumar, Jyoti Prakash Singh, Abhinav Kumar
A Deep Multi-modal Neural Network for the Identification of Hate Speech from Social Media. I3E (2021)
Antonios Antoniadis, Naveen Garg, Gunjan Kumar, Nikhil Kumar
Parallel Machine Scheduling to Minimize Energy Consumption. SODA (2020)
Umang Bhaskar, Gunjan Kumar
A Non-Extendibility Certificate for Submodularity and Applications. COCOON (2020)
Umang Bhaskar, Gunjan Kumar
Partial Function Extension with Applications to Learning and Property Testing. ISAAC (2020)
Umang Bhaskar, Gunjan Kumar
The Complexity of Partial Function Extension for Coverage Functions. CoRR (2019)
Umang Bhaskar, Gunjan Kumar
The Complexity of Partial Function Extension for Coverage Functions. APPROX-RANDOM (2019)
Antonios Antoniadis, Naveen Garg, Gunjan Kumar, Nikhil Kumar
Parallel Machine Scheduling to Minimize Energy Consumption. CoRR (2019)
Umang Bhaskar, Gunjan Kumar
Partial Function Extension with Applications to Learning and Property Testing. CoRR (2018)
Gunjan Kumar, Houssem Jerbi, Michael P. O'Mahony
Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain. RecTour@RecSys (2017)
Gunjan Kumar, Saswata Shannigrahi
New online algorithm for dynamic speed scaling with sleep state. Theor. Comput. Sci. 593 (2015)
Gunjan Kumar, Saswata Shannigrahi
On the NP-hardness of speed scaling with sleep state. Theor. Comput. Sci. 600 (2015)
Gunjan Kumar, Houssem Jerbi, Cathal Gurrin, Michael P. O'Mahony
Towards Activity Recommendation from Lifelogs. iiWAS (2014)
Gunjan Kumar, Saswata Shannigrahi
New Online Algorithm for Dynamic Speed Scaling with Sleep State CoRR (2013)
Gunjan Kumar, Saswata Shannigrahi
NP-Hardness of Speed Scaling with a Sleep State CoRR (2013)