Nirman Kumar - RankMe

45 papers A* 7A 3B 5Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning. ISCMI Sahil Nokhwal, Nirman Kumar
2023	J	`jnl`	DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning. CoRR Sahil Nokhwal, Nirman Kumar
2023	J	`jnl`	PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning. CoRR Sahil Nokhwal, Nirman Kumar
2023	J	`jnl`	Parallelizable efficient large order multiple recursive generators. Parallel Comput. Lih-Yuan Deng, Bryan R. Winter, Jyh-Jen Horng Shiau, Henry Horng-Shing Lu, Nirman Kumar, Ching-Chi Yang
2023	—	`conf`	RTRA: Rapid Training of Regularization-based Approaches in Continual Learning. ISCMI Sahil Nokhwal, Nirman Kumar
2023	J	`jnl`	RTRA: Rapid Training of Regularization-based Approaches in Continual Learning. CoRR Sahil Nokhwal, Nirman Kumar
2021	J	`jnl`	An Information-theoretic approach to dimensionality reduction in data science. Int. J. Data Sci. Anal. Sambriddhi Mainali, Max H. Garzon, Deepak Venugopal, Kalidas Jana, Ching-Chi Yang, Nirman Kumar, Dale Bowman, Lih-Yuan Deng
2021	J	`jnl`	Red blue $k$-center clustering with distance constraints. CoRR Marzieh Eskandari, Bhavika B. Khare, Nirman Kumar
2021	B	`conf`	Separated Red Blue Center Clustering. ISAAC Marzieh Eskandari, Bhavika B. Khare, Nirman Kumar
2021	J	`jnl`	Separated Red Blue Center Clustering. CoRR Marzieh Eskandari, Bhavika B. Khare, Nirman Kumar
2020	B	`conf`	CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space. IJCNN Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar
2020	J	`jnl`	CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space. CoRR Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar
2019	A	`conf`	Approximating Distance Measures for the Skyline. ICDT Nirman Kumar, Benjamin Raichel, Stavros Sintos, Gregory Van Buskirk
2018	A	`conf`	Faster Approximation Algorithm for the ALENEX Nirman Kumar, Stavros Sintos
2018	J	`jnl`	Range-max queries on uncertain data. J. Comput. Syst. Sci. Pankaj K. Agarwal, Nirman Kumar, Stavros Sintos, Subhash Suri
2018	J	`jnl`	Robust Proximity Search for Balls Using Sublinear Space. Algorithmica Sariel Har-Peled, Nirman Kumar
2017	B	`conf`	Efficient Algorithms for k-Regret Minimizing Sets. SEA Pankaj K. Agarwal, Nirman Kumar, Stavros Sintos, Subhash Suri
2017	J	`jnl`	Efficient Algorithms for k-Regret Minimizing Sets. CoRR Pankaj K. Agarwal, Nirman Kumar, Stavros Sintos, Subhash Suri
2017	J	`jnl`	Hyperplane separability and convexity of probabilistic point sets. J. Comput. Geom. Martin Fink, John Hershberger, Nirman Kumar, Subhash Suri
2017	A*	`conf`	Joint sensing duty cycle scheduling for heterogeneous coverage guarantee. INFOCOM Kin Sum Liu, Tyler Mayer, Hao-Tsung Yang, Esther M. Arkin, Jie Gao, Mayank Goswami, Matthew P. Johnson, Nirman Kumar, Shan Lin
2017	—	`conf`	On the minimum edge size for 2-colorability and realizability of hypergraphs by axis-parallel rectangles. CCCG Nirman Kumar
2016	B	`conf`	Containment and Evasion in Stochastic Point Data. LATIN Nirman Kumar, Subhash Suri
2016	A*	`conf`	Hyperplane Separability and Convexity of Probabilistic Point Sets. SoCG Martin Fink, John Hershberger, Nirman Kumar, Subhash Suri
2016	—	`conf`	Most Likely Voronoi Diagrams in Higher Dimensions. FSTTCS Nirman Kumar, Benjamin Raichel, Subhash Suri, Kevin Verbeek
2016	A*	`conf`	Range-Max Queries on Uncertain Data. PODS Pankaj K. Agarwal, Nirman Kumar, Stavros Sintos, Subhash Suri
2016	J	`jnl`	Space Exploration via Proximity Search. Discret. Comput. Geom. Sariel Har-Peled, Nirman Kumar, David M. Mount, Benjamin Raichel
2015	J	`jnl`	Approximating Minimization Diagrams and Generalized Proximity Search. SIAM J. Comput. Sariel Har-Peled, Nirman Kumar
2015	A	`conf`	Fast Compaction Algorithms for NoSQL Databases. ICDCS Mainak Ghosh, Indranil Gupta, Shalmoli Gupta, Nirman Kumar
2015	A*	`conf`	Space Exploration via Proximity Search. SoCG Sariel Har-Peled, Nirman Kumar, David M. Mount, Benjamin Raichel
2014	J	`jnl`	Down the Rabbit Hole: Robust Proximity Search and Density Estimation in Sublinear Space. SIAM J. Comput. Sariel Har-Peled, Nirman Kumar
2014	—	`—`	In search of better proximity Nirman Kumar
2014	—	`conf`	Robust Proximity Search for Balls Using Sublinear Space. FSTTCS Sariel Har-Peled, Nirman Kumar
2014	J	`jnl`	Robust Proximity Search for Balls using Sublinear Space. CoRR Sariel Har-Peled, Nirman Kumar
2014	J	`jnl`	Space Exploration via Proximity Search. CoRR Sariel Har-Peled, Nirman Kumar, David M. Mount, Benjamin Raichel
2013	J	`jnl`	Approximate Nearest Neighbor Search for Low-Dimensional Queries. SIAM J. Comput. Sariel Har-Peled, Nirman Kumar
2013	J	`jnl`	Approximating Minimization Diagrams and Generalized Proximity Search CoRR Sariel Har-Peled, Nirman Kumar
2013	A*	`conf`	Approximating Minimization Diagrams and Generalized Proximity Search. FOCS Sariel Har-Peled, Nirman Kumar
2013	—	`conf`	Fault Tolerant Clustering Revisited. CCCG Nirman Kumar, Benjamin Raichel
2013	J	`jnl`	Fault Tolerant Clustering Revisited. CoRR Nirman Kumar, Benjamin Raichel
2012	A*	`conf`	Down the Rabbit Hole: Robust Proximity Search and Density Estimation in Sublinear Space. FOCS Sariel Har-Peled, Nirman Kumar
2011	A*	`conf`	Approximate Nearest Neighbor Search for Low Dimensional Queries. SODA Sariel Har-Peled, Nirman Kumar
2011	J	`jnl`	Down the Rabbit Hole: Robust Proximity Search in Sublinear Space CoRR Sariel Har-Peled, Nirman Kumar
2010	J	`jnl`	Approximate Nearest Neighbor Search for Low Dimensional Queries CoRR Sariel Har-Peled, Nirman Kumar
2005	B	`conf`	On the Complexity of Error Explanation. VMCAI Nirman Kumar, Viraj Kumar, Mahesh Viswanathan
2003	—	`conf`	A Rewriting Based Model for Probabilistic Distributed Object Systems. FMOODS Nirman Kumar, Koushik Sen, José Meseguer, Gul Agha