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ORCIDKarthik S. Gurumoorthy
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2020 – today
- 2024
[j10]Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy:
Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. Trans. Mach. Learn. Res. 2024 (2024)- [c23]Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular framework for structured-sparse optimal transport. ICML 2024 - [i18]Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular Framework for Structured-Sparse Optimal Transport. CoRR abs/2406.04914 (2024) - 2023
- [c22]Pranava Singhal, Waqar Mirza, Ajit Rajwade, Karthik S. Gurumoorthy:
Estimating Joint Probability Distribution with Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries. EUSIPCO 2023: 1988-1992 - [c21]Etika Agarwal, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally:
A Scalable Solution for the Extended Multi-channel Facility Location Problem. ECML/PKDD (4) 2023: 316-332 - [c20]Madhav Khirwar, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally:
Cooperative Multi-agent Reinforcement Learning for Inventory Management. ECML/PKDD (6) 2023: 619-634 - [i17]Sheel Shah, Karthik S. Gurumoorthy, Ajit Rajwade:
Analysis of Tomographic Reconstruction of 2D Images using the Distribution of Unknown Projection Angles. CoRR abs/2304.06376 (2023) - [i16]Pranava Singhal
, Waqar Mirza, Ajit Rajwade, Karthik S. Gurumoorthy:
Estimating Joint Probability Distribution With Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries. CoRR abs/2304.08740 (2023) - [i15]Madhav Khirwar, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally:
Cooperative Multi-Agent Reinforcement Learning for Inventory Management. CoRR abs/2304.08769 (2023) - 2022
- [c19]Shaan ul Haque, Ajit Rajwade, Karthik S. Gurumoorthy:
Joint Probability Estimation U sing Tensor Decomposition and Dictionaries. EUSIPCO 2022: 2226-2230 - [c18]Karthik S. Gurumoorthy, Abhiraj Hinge:
Go Green: A Decision-Tree Framework to Select Optimal Box-Sizes for Product Shipments. ECML/PKDD (5) 2022: 598-613 - [i14]Naveen Nair, Karthik S. Gurumoorthy, Dinesh Mandalapu:
Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages. CoRR abs/2201.08559 (2022) - [i13]Karthik S. Gurumoorthy, Abhiraj Hinge:
A decision-tree framework to select optimal box-sizes for product shipments. CoRR abs/2202.04277 (2022) - [i12]Shaan ul Haque, Ajit Rajwade, Karthik S. Gurumoorthy:
Joint Probability Estimation Using Tensor Decomposition and Dictionaries. CoRR abs/2203.01667 (2022) - 2021
- [j9]Ajit Rajwade, Karthik S. Gurumoorthy:
Two penalized estimators based on variance stabilization transforms for sparse compressive recovery with Poisson measurement noise. Signal Process. 188: 108186 (2021) - [c17]Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra:
SPOT: A Framework for Selection of Prototypes Using Optimal Transport. ECML/PKDD (4) 2021: 535-551 - [c16]Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade:
Recovery of Joint Probability Distribution from One-Way Marginals: Low Rank Tensors and Random Projections. SSP 2021: 481-485 - [i11]Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra:
SPOT: A framework for selection of prototypes using optimal transport. CoRR abs/2103.10159 (2021) - [i10]Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade:
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections. CoRR abs/2103.11864 (2021) - 2020
- [c15]Amit Dhurandhar, Karthik S. Gurumoorthy:
Classifier Invariant Approach to Learn from Positive-Unlabeled Data. ICDM 2020: 102-111 - [c14]Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji:
Think Out of the Package: Recommending Package Types for E-Commerce Shipments. ECML/PKDD (5) 2020: 290-305 - [i9]Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji:
Think out of the package: Recommending package types for e-commerce shipments. CoRR abs/2006.03239 (2020)
2010 – 2019
- 2019
- [j8]Sukanya Patil, Karthik S. Gurumoorthy, Ajit Rajwade:
Using an Information Theoretic Metric for Compressive Recovery under Poisson Noise. Signal Process. 162: 35-53 (2019) - [j7]Himanshu Pandotra, Eeshan Malhotra, Ajit Rajwade, Karthik S. Gurumoorthy:
Dealing with frequency perturbations in compressive reconstructions with Fourier sensing matrices. Signal Process. 165: 57-71 (2019) - [c13]Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal:
Efficient Data Representation by Selecting Prototypes with Importance Weights. ICDM 2019: 260-269 - 2018
- [c12]Himanshu Pandotra, Eeshan Malhotra, Ajit Rajwade, Karthik S. Gurumoorthy:
Signal Recovery in Perturbed Fourier Compressed Sensing. GlobalSIP 2018: 326-330 - [c11]Himanshu Pandotra, Rajbabu Velmurugan, Karthik S. Gurumoorthy, Ajit Rajwade:
Perturbed Compressed Sensing Based Single Snapshot DOA Estimation. GlobalSIP 2018: 1252-1256 - [i8]Karthik S. Gurumoorthy, Amit Dhurandhar:
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection. CoRR abs/1807.08091 (2018) - 2017
- [j6]Marc Bocquet, Karthik S. Gurumoorthy, Amit Apte, Alberto Carrassi, Colin Grudzien, Christopher K. R. T. Jones:
Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace. SIAM/ASA J. Uncertain. Quantification 5(1): 304-333 (2017) - [j5]Karthik S. Gurumoorthy, Colin Grudzien, Amit Apte, Alberto Carrassi, Christopher K. R. T. Jones:
Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution. SIAM J. Control. Optim. 55(2): 741-759 (2017) - [c10]Eeshan Malhotra, Karthik S. Gurumoorthy, Ajit Rajwade:
Stronger recovery guarantees for sparse signals exploiting coherence structure in dictionaries. ICASSP 2017: 6085-6089 - [i7]Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi:
ProtoDash: Fast Interpretable Prototype Selection. CoRR abs/1707.01212 (2017) - [i6]Eeshan Malhotra, Himanshu Pandotra, Ajit Rajwade, Karthik S. Gurumoorthy:
Signal Recovery in Perturbed Fourier Compressed Sensing. CoRR abs/1708.01398 (2017) - 2015
- [i5]Subhajit Sengupta, Karthik S. Gurumoorthy, Arunava Banerjee:
Sensitivity Analysis for additive STDP rule. CoRR abs/1503.07490 (2015) - 2014
- [c9]Hima Patel, Karthik S. Gurumoorthy, Sheshadri R. Thiruvenkadam:
Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction. GCPR 2014: 432-442 - [c8]Karthik S. Gurumoorthy, Anand Rangarajan:
A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density. ICVGIP 2014: 3:1-3:8 - [c7]Adrian M. Peter, Karthik S. Gurumoorthy, Mark Moyou, Anand Rangarajan:
A new energy minimization framework and sparse linear system for path planning and shape from shading. ICVGIP 2014: 15:1-15:8 - [i4]Karthik S. Gurumoorthy, Anand Rangarajan:
A fast eikonal equation solver using the Schrödinger wave equation. CoRR abs/1403.1937 (2014) - [i3]Amit Dhurandhar, Karthik S. Gurumoorthy:
Symmetric Submodular Clustering with Actionable Constraint. CoRR abs/1409.6967 (2014) - 2013
- [i2]Karthik S. Gurumoorthy:
On the dynamic compressibility of sets. CoRR abs/1302.0487 (2013) - 2012
- [j4]Alina Zare, Paul D. Gader, Karthik S. Gurumoorthy:
Directly Measuring Material Proportions Using Hyperspectral Compressive Sensing. IEEE Geosci. Remote. Sens. Lett. 9(3): 323-327 (2012) - [j3]Karthik S. Gurumoorthy, Anand Rangarajan:
Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation. SIAM J. Math. Anal. 44(6): 4250-4273 (2012) - [c6]Manu Sethi, Anand Rangarajan, Karthik S. Gurumoorthy:
The Schrödinger distance transform (SDT) for point-sets and curves. CVPR 2012: 198-205 - 2011
- [c5]Xin Hou, Karthik S. Gurumoorthy, Ajit Rajwade:
Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases. DCC 2011: 458 - [c4]Karthik S. Gurumoorthy, Anand Rangarajan, Arunava Banerjee:
The Complex Wave Representation of Distance Transforms. EMMCVPR 2011: 413-427 - [i1]Karthik S. Gurumoorthy, Anand Rangarajan, Manu Sethi:
Fast convolution-based methods for computing the signed distance function and its derivatives. CoRR abs/1112.3010 (2011) - 2010
- [j2]Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases. IEEE Trans. Image Process. 19(2): 322-334 (2010)
2000 – 2009
- 2009
- [j1]Karthik S. Gurumoorthy, Arunava Banerjee, Anand A. Paul:
Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back. Oper. Res. Lett. 37(3): 159-162 (2009) - [c3]Anand Rangarajan, Karthik S. Gurumoorthy:
A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis. EMMCVPR 2009: 140-153 - [c2]Karthik S. Gurumoorthy, Anand Rangarajan:
A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions. SSVM 2009: 100-111 - 2008
- [c1]Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan:
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation. ICPR 2008: 1-4
Coauthor Index
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