S. Sathiya Keerthi

127 papers A* 25A 8B 3Journal 71Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
AlphaPO - Reward shape matters for LLM alignment.
CoRR
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh S. Pillai, S. Sathiya Keerthi
2025 A* conf
AlphaPO: Reward Shape Matters for LLM Alignment.
ICML
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, S. Sathiya Keerthi
2025 J jnl
Effective Quantization of Muon Optimizer States.
CoRR
Aman Gupta, Rafael Celente, Abhishek Shivanna, D. T. Braithwaite, Gregory Dexter, Shao Tang, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, S. Sathiya Keerthi
2024 A* conf
A Precise Characterization of SGD Stability Using Loss Surface Geometry.
ICLR
Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
2024 J jnl
A Precise Characterization of SGD Stability Using Loss Surface Geometry.
CoRR
Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
2024 A* conf
LiMAML: Personalization of Deep Recommender Models via Meta Learning.
KDD
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan
2024 A* conf
LiRank: Industrial Large Scale Ranking Models at LinkedIn.
KDD
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
2024 J jnl
LiRank: Industrial Large Scale Ranking Models at LinkedIn.
CoRR
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
2023 A* conf
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.
KDD
Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta
2023 J jnl
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.
CoRR
Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder
2022 A* conf
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications.
AAAI
Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
2022 J jnl
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.
CoRR
Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder
2021 J jnl
Efficient Algorithms for Global Inference in Internet Marketplaces.
CoRR
Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
2021 J jnl
Logit Attenuating Weight Normalization.
CoRR
Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi
2020 J jnl
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space.
CoRR
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy
2020 J jnl
Regression via Implicit Models and Optimal Transport Cost Minimization.
CoRR
Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi
2020 J jnl
Targeted display advertising: the case of preferential attachment.
CoRR
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
2019 J jnl
An Empirical Analysis of Deep Learning for Cardinality Estimation.
CoRR
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi
2019 A conf
Domain adaptation in display advertising: an application for partner cold-start.
RecSys
Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi
2019 J jnl
Regression with Conditional GAN.
CoRR
Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari
2019 — conf
Targeted display advertising: the case of preferential attachment.
IEEE BigData
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
2018 J jnl
An efficient distributed learning algorithm based on effective local functional approximations.
J. Mach. Learn. Res.
Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Léon Bottou
2018 A conf
Batch-Expansion Training: An Efficient Optimization Framework.
AISTATS
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer
2018 J jnl
Distributed Newton Methods for Deep Neural Networks.
CoRR
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
2018 J jnl
Distributed Newton Methods for Deep Neural Networks.
Neural Comput.
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
2018 — conf
Learning State Representations for Query Optimization with Deep Reinforcement Learning.
DEEM@SIGMOD
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi
2018 J jnl
Learning State Representations for Query Optimization with Deep Reinforcement Learning.
CoRR
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi
2017 J jnl
A distributed block coordinate descent method for training l1 regularized linear classifiers.
J. Mach. Learn. Res.
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2017 J jnl
Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning.
CoRR
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer
2017 J jnl
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles.
CoRR
Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi
2017 A* conf
Gradient Boosted Decision Trees for High Dimensional Sparse Output.
ICML
Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
2016 A conf
Hashtag Recommendation for Enterprise Applications.
CIKM
Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke
2015 A* conf
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues.
KDD
Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla
2015 — conf
Near Real-Time Service Monitoring Using High-Dimensional Time Series.
ICDM Workshops
Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi
2015 J jnl
Towards a Better Understanding of Predict and Count Models.
CoRR
S. Sathiya Keerthi, Tobias Schnabel, Rajiv Khanna
2014 J jnl
A Distributed Algorithm for Training Nonlinear Kernel Machines.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2014 J jnl
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2013 J jnl
A Functional Approximation Based Distributed Learning Algorithm.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013 J jnl
A Parallel SGD method with Strong Convergence.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013 J jnl
A Quantitative Evaluation Framework for Missing Value Imputation Algorithms.
CoRR
Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan
2013 J jnl
A Structured Prediction Approach for Missing Value Imputation.
CoRR
Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi
2013 J jnl
An Empirical Evaluation of Sequence-Tagging Trainers.
CoRR
P. Balamurugan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2013 — conf
Tractable Semi-supervised Learning of Complex Structured Prediction Models.
ECML/PKDD (3)
Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi
2012 — conf
Automatic web-scale information extraction.
SIGMOD Conference
Philip Bohannon, Nilesh N. Dalvi, Yuval Filmus, Nori Jacoby, S. Sathiya Keerthi, Alok Kirpal
2012 A conf
Deterministic Annealing for Semi-Supervised Structured Output Learning.
AISTATS
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam
2012 — conf
Iterative Viterbi A* Algorithm for K-Best Sequential Decoding.
ACL (1)
Zhiheng Huang, Yi Chang, Bo Long, Jean-François Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu
2011 A conf
A Sequential Dual Method for Structural SVMs.
SDM
Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi
2011 J jnl
Mean Field Methods for a Special Class of Belief Networks
CoRR
Chiru Bhattacharyya, S. Sathiya Keerthi
2010 J jnl
Efficient algorithms for ranking with SVMs.
Inf. Retr.
Olivier Chapelle, S. Sathiya Keerthi
2009 A* conf
A web of concepts.
PODS
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Raghu Ramakrishnan, Andrew Tomkins, Philip Bohannon, S. Sathiya Keerthi, Srujana Merugu
2008 A* conf
A dual coordinate descent method for large-scale linear SVM.
ICML
Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan
2008 A* conf
A sequential dual method for large scale multi-class linear svms.
KDD
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
2008 J jnl
Optimization Techniques for Semi-Supervised Support Vector Machines.
J. Mach. Learn. Res.
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
2008 J jnl
Trust Region Newton Method for Logistic Regression.
J. Mach. Learn. Res.
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
2007 J jnl
A Fast Tracking Algorithm for Generalized LARS/LASSO.
IEEE Trans. Neural Networks
S. Sathiya Keerthi, Shirish K. Shevade
2007 J jnl
Constructing a maximum utility slate of on-line advertisements
CoRR
S. Sathiya Keerthi, John A. Tomlin
2007 J jnl
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning.
Neural Comput.
S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi
2007 A* conf
Semi-Supervised Gaussian Process Classifiers.
IJCAI
Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi
2007 J jnl
Support Vector Ordinal Regression.
Neural Comput.
Wei Chu, S. Sathiya Keerthi
2007 A* conf
Trust region Newton methods for large-scale logistic regression.
ICML
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
2006 — conf
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.
NIPS
S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle
2006 — ch.
Bayesian Support Vector Machines for Feature Ranking and Selection.
Feature Extraction
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, Zoubin Ghahramani
2006 — conf
Branch and Bound for Semi-Supervised Support Vector Machines.
NIPS
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
2006 J jnl
Building Support Vector Machines with Reduced Classifier Complexity.
J. Mach. Learn. Res.
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
2006 A* conf
Deterministic annealing for semi-supervised kernel machines.
ICML
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle
2006 J jnl
Developing parallel sequential minimal optimization for fast training support vector machine.
Neurocomputing
Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiuju Fu, H. P. Lee
2006 A* conf
Large scale semi-supervised linear SVMs.
SIGIR
Vikas Sindhwani, S. Sathiya Keerthi
2006 J jnl
Parallel sequential minimal optimization for the training of support vector machines.
IEEE Trans. Neural Networks
Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiuju Fu, H. P. Lee
2006 — conf
Relational Learning with Gaussian Processes.
NIPS
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi
2005 J jnl
A Fast Dual Algorithm for Kernel Logistic Regression.
Mach. Learn.
S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo
2005 J jnl
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs.
J. Mach. Learn. Res.
S. Sathiya Keerthi, Dennis DeCoste
2005 — conf
A matching pursuit approach to sparse Gaussian process regression.
NIPS
S. Sathiya Keerthi, Wei Chu
2005 J jnl
An improved conjugate gradient scheme to the solution of least squares SVM.
IEEE Trans. Neural Networks
Wei Chu, Chong Jin Ong, S. Sathiya Keerthi
2005 J jnl
Analyzing textual databases using data mining to enable fast product development processes.
Reliab. Eng. Syst. Saf.
Rakesh Menon, Han Tong Loh, S. Sathiya Keerthi
2005 A* conf
Generalized LARS as an effective feature selection tool for text classification with SVMs.
ICML
S. Sathiya Keerthi
2005 A* conf
New approaches to support vector ordinal regression.
ICML
Wei Chu, S. Sathiya Keerthi
2005 — conf
Which Is the Best Multiclass SVM Method? An Empirical Study.
Multiple Classifier Systems
Kaibo Duan, S. Sathiya Keerthi
2004 J jnl
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels.
IEEE Trans. Neural Networks
Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste
2004 J jnl
Bayesian support vector regression using a unified loss function.
IEEE Trans. Neural Networks
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
2004 B conf
Predictive Approaches for Sparse Model Learning.
ICONIP
Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2004 J jnl
Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning.
Autom.
Chong Jin Ong, S. Sathiya Keerthi, Elmer G. Gilbert, Z. H. Zhang
2003 A conf
A Machine Learning Approach for the Curation of Biomedical Literature.
ECIR
Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong
2003 J jnl
A simple and efficient algorithm for gene selection using sparse logistic regression.
Bioinform.
Shirish K. Shevade, S. Sathiya Keerthi
2003 J jnl
Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel.
Neural Comput.
S. Sathiya Keerthi, Chih-Jen Lin
2003 B conf
Automated Text Classification for Fast Feedback - Investigating the Effects of Document Representation.
KES
Rakesh Menon, Han Tong Loh, S. Sathiya Keerthi, Aarnout Brombacher
2003 J jnl
Bayesian Trigonometric Support Vector Classifier.
Neural Comput.
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
2003 J jnl
Evaluation of simple performance measures for tuning SVM hyperparameters.
Neurocomputing
Kaibo Duan, S. Sathiya Keerthi, Aun Neow Poo
2003 — conf
Multi-category Classification by Soft-Max Combination of Binary Classifiers.
Multiple Classifier Systems
Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo
2003 J jnl
SMO Algorithm for Least-Squares SVM Formulation.
Neural Comput.
S. Sathiya Keerthi, Shirish K. Shevade
2003 B conf
SMO algorithm for least squares SVM.
IJCNN
S. Sathiya Keerthi, Shirish K. Shevade
2003 J jnl
Special issue on support vector machines.
Neurocomputing
Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.
2002 A* conf
A Fast Dual Algorithm for Kernel Logistic Regression.
ICML
S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo
2002 J jnl
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1).
SIGKDD Explor.
S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh
2002 J jnl
Convergence of a Generalized SMO Algorithm for SVM Classifier Design.
Mach. Learn.
S. Sathiya Keerthi, Elmer G. Gilbert
2002 J jnl
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms.
IEEE Trans. Neural Networks
S. Sathiya Keerthi
2002 — conf
Reference governor control of constrained feedback systems using neural networks.
ISIC
Harshad Jahagirdar, S. Sathiya Keerthi, Marcelo H. Ang Jr.
2001 A* conf
A Unified Loss Function in Bayesian Framework for Support Vector Regression.
ICML
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
2001 J jnl
Computation of a penetration measure between 3D convex polyhedral objects for collision detection.
J. Field Robotics
K. Sridharan, S. Sathiya Keerthi
2001 J jnl
Improvements to Platt's SMO Algorithm for SVM Classifier Design.
Neural Comput.
S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
2001 J jnl
Mean Field Methods for a Special Class of Belief Networks.
J. Artif. Intell. Res.
Chiranjib Bhattacharyya, S. Sathiya Keerthi
2001 J jnl
Predictive Approaches for Choosing Hyperparameters in Gaussian Processes.
Neural Comput.
S. Sundararajan, S. Sathiya Keerthi
2001 J jnl
Rule prepending and post-pruning approach to incremental learning of decision lists.
Pattern Recognit.
K. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty
2000 — conf
A Variational Mean-Field Theory for Sigmoidal Belief Networks.
NIPS
Chiranjib Bhattacharyya, S. Sathiya Keerthi
2000 J jnl
A fast iterative nearest point algorithm for support vector machine classifier design.
IEEE Trans. Neural Networks Learn. Syst.
S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
2000 J jnl
A stochastic connectionist approach for global optimization with application to pattern clustering.
IEEE Trans. Syst. Man Cybern. Part B
G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi
2000 J jnl
Improvements to the SMO algorithm for SVM regression.
IEEE Trans. Neural Networks Learn. Syst.
Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy
1999 A conf
A Study of Representations for Pen based Handwriting Recognition of Tamil Characters.
ICDAR
C. S. Sundaresan, S. Sathiya Keerthi
1999 A conf
Context Filters for Document-based Information Filtering.
ICDAR
K. R. K. Murthy, S. Sathiya Keerthi
1999 A* conf
EquiDistance Diagram: A New Roadmap Method for Path Planning.
ICRA
S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert
1999 — conf
Predictive App roaches for Choosing Hyperparameters in Gaussian Processes.
NIPS
S. Sundararajan, S. Sathiya Keerthi
1998 J jnl
An efficient approach for the numerical simulation of multibody systems.
Appl. Math. Comput.
Rachuri Sudarsan, S. Sathiya Keerthi
1998 J jnl
Numerical approaches for solution of differential equations on manifolds.
Appl. Math. Comput.
Rachuri Sudarsan, S. Sathiya Keerthi
1998 J jnl
Synthesis of fault-tolerant feedforward neural networks using minimax optimization.
IEEE Trans. Neural Networks
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
1995 A* conf
Algorithms for the Optimal Loading of Recursive Neural Nets.
SODA
Vijay Chandru, Abhi Dattasharma, S. Sathiya Keerthi, N. K. Sancheti, V. Vinay
1995 J jnl
An Augmented Voronoi Roadmap for 3D Translational Motion Planning for a Convex Polyhedron Moving Amidst Convex Polyhedral Obstacles.
Theor. Comput. Sci.
Abhi Dattasharma, S. Sathiya Keerthi
1995 J jnl
Regional pole placement of multivariable systems under control structure constraints.
IEEE Trans. Autom. Control.
S. Sathiya Keerthi, Makarand S. Phatak
1994 J jnl
Distance Measures on Intersecting Objects and Their Applications.
Inf. Process. Lett.
K. Sridharan, Harry E. Stephanou, K. C. Craig, S. Sathiya Keerthi
1993 — conf
Numerical Determination of Optimal Non-Holonomic Paths in the Presence of Obstacles.
ICRA (1)
Sudhaker Samuel, S. Sathiya Keerthi
1993 — conf
On Computing a Distance Measure for Path Planning.
ICRA (1)
K. Sridharan, Harry E. Stephanou, S. Sathiya Keerthi
1993 — conf
Optimal Control of a Somersaulting Platform Diver: A Numerical Approach.
ICRA (1)
Nukala V. R. K. N. Murthy, S. Sathiya Keerthi
1993 — conf
Translational Motion Planning for a Convex Polyhedron in a 3D Polyhedral World Using an Efficient and New Roadmap.
CCCG
Abhi Dattasharma, S. Sathiya Keerthi
1992 J jnl
A homotopy approach for stabilizing single-input systems with control structure constraints.
Autom.
Makarand S. Phatak, S. Sathiya Keerthi
1992 A* conf
A new approach to the numerical solution of constrained mechanical system dynamics.
ICRA
S. Sathiya Keerthi, Rachuri Sudarsan, N. K. Sancheti
1992 A* conf
Computation of certain measures of proximity between convex polytopes: a complexity viewpoint.
ICRA
N. K. Sancheti, S. Sathiya Keerthi
1992 A* conf
Path planning: an approach based on connecting all the minimizers and maximizers of a potential function.
ICRA
H. Shashikala, N. K. Sancheti, S. Sathiya Keerthi
1988 J jnl
A fast procedure for computing the distance between complex objects in three-dimensional space.
IEEE J. Robotics Autom.
Elmer G. Gilbert, Daniel W. Johnson, S. Sathiya Keerthi
1987 A* conf
A fast procedure for computing the distance between complex objects in three space.
ICRA
Elmer G. Gilbert, Daniel W. Johnson, S. Sathiya Keerthi