P. S. Sastry

According to our database, P. S. Sastry authored at least 72 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events.

Santhosh B. Gandreti, Ibrahim A., P. S. Sastry

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Adaptive Sample Selection for Robust Learning under Label Noise.

Deep Patel, P. S. Sastry

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Efficient Depth-First Search Approach for Mining Injective General Episodes.

Santhosh B. Gandreti, P. S. Sastry

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization.

Vidyadhar Upadhya, P. S. Sastry

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Memorization in Deep Neural Networks: Does the Loss Function Matter?

Deep Patel, P. S. Sastry

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

On Robustness of Neural Architecture Search Under Label Noise.

Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu

Frontiers Big Data, 2020

Robust Learning of Multi-Label Classifiers under Label Noise.

Himanshu Kumar, Naresh Manwani, P. S. Sastry

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019

Discovering frequent chain episodes.

Avinash Achar, P. S. Sastry

Knowl. Inf. Syst., 2019

PLUME: Polyhedral Learning Using Mixture of Experts.

Kulin Shah, P. S. Sastry, Naresh Manwani

CoRR, 2019

Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application.

Soumyajit Mitra, P. S. Sastry

CoRR, 2019

Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates.

Vidyadhar Upadhya, P. S. Sastry

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Robust Loss Functions for Learning Multi-class Classifiers.

Himanshu Kumar, P. S. Sastry

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees.

Suresh Kirthi Kumaraswamy, P. S. Sastry, K. R. Ramakrishnan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Transfer Learning in CNNs Using Filter-Trees.

Suresh Kirthi Kumaraswamy, P. S. Sastry, K. R. Ramakrishnan

CoRR, 2017

On the Robustness of Decision Tree Learning Under Label Noise.

Aritra Ghosh, Naresh Manwani, P. S. Sastry

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Learning RBM with a DC programming Approach.

Vidyadhar Upadhya, P. S. Sastry

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Robust Loss Functions under Label Noise for Deep Neural Networks.

Aritra Ghosh, Himanshu Kumar, P. S. Sastry

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Discovering compressing serial episodes from event sequences.

A. Ibrahim, Shivakumar Sastry, P. S. Sastry

Knowl. Inf. Syst., 2016

Analyzing Similarities of Datasets Using a Pattern Set Kernel.

A. Ibrahim, P. S. Sastry, Shivakumar Sastry

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Bank of Weight Filters for Deep CNNs.

Suresh Kirthi Kumaraswamy, P. S. Sastry, Kalpathi Ramakrishnan

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

K-plane regression.

Naresh Manwani, P. S. Sastry

Inf. Sci., 2015

Statistical significance of episodes with general partial orders.

Avinash Achar, P. S. Sastry

Inf. Sci., 2015

Making risk minimization tolerant to label noise.

Aritra Ghosh, Naresh Manwani, P. S. Sastry

Neurocomputing, 2015

Empirical Analysis of Sampling Based Estimators for Evaluating RBMs.

Vidyadhar Upadhya, P. S. Sastry

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Pattern set kernel.

A. Ibrahim, P. S. Sastry, Shivakumar Sastry

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

2013

Noise Tolerance Under Risk Minimization.

Naresh Manwani, P. S. Sastry

IEEE Trans. Cybern., 2013

Pattern-growth based frequent serial episode discovery.

Avinash Achar, A. Ibrahim, P. S. Sastry

Data Knowl. Eng., 2013

Cloud Conveyors System: A Versatile Application for Exploring Cyber-Physical Systems.

Shivakumar Sastry, Michael S. Branicky, P. S. Sastry

Proceedings of the Control of Cyber-Physical Systems, 2013

2012

Geometric Decision Tree.

Naresh Manwani, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part B, 2012

A unified view of the apriori-based algorithms for frequent episode discovery.

Avinash Achar, Srivatsan Laxman, P. S. Sastry

Knowl. Inf. Syst., 2012

Discovering injective episodes with general partial orders.

Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry

Data Min. Knowl. Discov., 2012

2011

Polyceptron: A Polyhedral Learning Algorithm

Naresh Manwani, P. S. Sastry

CoRR, 2011

2010

A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces.

P. S. Sastry, G. D. Nagendra, Naresh Manwani

IEEE Trans. Syst. Man Cybern. Part B, 2010

Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains.

P. S. Sastry, K. P. Unnikrishnan

Neural Comput., 2010

Learning Polyhedral Classifiers Using Logistic Function.

Naresh Manwani, P. S. Sastry

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

A unified view of Automata-based algorithms for Frequent Episode Discovery

Avinash Achar, Srivatsan Laxman, P. S. Sastry

CoRR, 2010

Efficient Discovery of Large Synchronous Events in Neural Spike Streams

Raajay Viswanathan, P. S. Sastry, K. P. Unnikrishnan

CoRR, 2010

2009

Multipath Dissemination in Regular Mesh Topologies.

Kranthi K. Mamidisetty, Minlan Duan, Shivakumar Sastry, P. S. Sastry

IEEE Trans. Parallel Distributed Syst., 2009

Temporal data mining for root-cause analysis of machine faults in automotive assembly lines

Srivatsan Laxman, Basel Shadid, P. S. Sastry, K. P. Unnikrishnan

CoRR, 2009

Discovering general partial orders in event streams

Avinash Achar, Srivatsan Laxman, V. Raajay, P. S. Sastry

CoRR, 2009

Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes.

Casey O. Diekman, Kohinoor Dasgupta, Vijay N. Nair, P. S. Sastry, K. P. Unnikrishnan

CoRR, 2009

A Geometric Algorithm for Learning Oblique Decision Trees.

Naresh Manwani, P. S. Sastry

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2008

Inferring neuronal network connectivity from spike data: A temporal data mining approach.

Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan

Sci. Program., 2008

Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains

P. S. Sastry, K. P. Unnikrishnan

CoRR, 2008

Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach

Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan

CoRR, 2008

2007

Discovering Frequent Generalized Episodes When Events Persist for Different Durations.

Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan

IEEE Trans. Knowl. Data Eng., 2007

A Feedback-Based Algorithm for Motion Analysis with Application to Object Tracking.

Shesha Shah, P. S. Sastry

EURASIP J. Adv. Signal Process., 2007

Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method

K. P. Unnikrishnan, Debprakash Patnaik, P. S. Sastry

CoRR, 2007

Inferring Neuronal Network Connectivity using Time-constrained Episodes

Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan

CoRR, 2007

A fast algorithm for finding frequent episodes in event streams.

Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Network reconstruction from dynamic data.

K. P. Unnikrishnan, Naren Ramakrishnan, P. S. Sastry, Ramasamy Uthurusamy

SIGKDD Explor., 2006

2005

Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection.

Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan

IEEE Trans. Knowl. Data Eng., 2005

2004

Fingerprint classification using a feedback-based line detector.

Shesha Shah, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part B, 2004

2002

Varieties of learning automata: an overview.

M. A. L. Thathachar, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part B, 2002

Two Timescale Analysis of the Alopex Algorithm for Optimization.

P. S. Sastry, M. Magesh, K. P. Unnikrishnan

Neural Comput., 2002

1999

New algorithms for learning and pruning oblique decision trees.

Shesha Shah, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part C, 1999

Stochastic optimization over continuous and discrete variables with applications to concept learning under noise.

K. Rajaraman, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part A, 1999

1997

A reinforcement learning neural network for adaptive control of Markov chains.

G. Santharam, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part A, 1997

1996

Finite time analysis of the pursuit algorithm for learning automata.

Kanagasabai Rajaraman, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part B, 1996

1994

Decentralized Learning of Nash Equilibria in Multi-Person Stochastic Games With Incomplete Information.

P. S. Sastry, Vijay V. Phansalkar, M. A. L. Thathachar

IEEE Trans. Syst. Man Cybern. Syst., 1994

Memory neuron networks for identification and control of dynamical systems.

P. S. Sastry, G. Santharam, K. P. Unnikrishnan

IEEE Trans. Neural Networks, 1994

Analysis of the back-propagation algorithm with momentum.

Vijay V. Phansalkar, P. S. Sastry

IEEE Trans. Neural Networks, 1994

Analysis of Stochastic Automata Algorithm for Relaxation Labeling.

P. S. Sastry, M. A. L. Thathachar

IEEE Trans. Pattern Anal. Mach. Intell., 1994

1993

Learning optimal conjunctive concepts through a team of stochastic automata.

P. S. Sastry, Kanagasabai Rajaraman, S. R. Ranjan

IEEE Trans. Syst. Man Cybern., 1993

1992

Surface reconstruction from disparate shading: an integration of shape-from-shading and stereopsis.

Subhashis Banerjee, P. S. Sastry, Y. V. Venkatesh

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1990

Simulation studies on the performance of an organizational model for graph reduction.

K. Ravikanth, P. S. Sastry, Y. V. Venkatesh

Future Gener. Comput. Syst., 1990

1988

An SIMD machine for low-level vision.

K. Banerjee, P. S. Sastry, K. R. Ramakrishnan, Y. V. Venkatesh

Inf. Sci., 1988

A reduction architecture for the optimal scheduling of binary trees.

K. Ravikanth, P. S. Sastry, K. R. Ramakrishnan, Y. V. Venkatesh

Future Gener. Comput. Syst., 1988

1987

Learning Optimal Discriminant Functions through a Cooperative Game of Automata.

Mandayam A. L. Thathachar, P. S. Sastry

IEEE Trans. Syst. Man Cybern., 1987

A hierarchical system of learning automata that can learn die globally optimal path.

M. A. L. Thathachar, P. S. Sastry

Inf. Sci., 1987

1986

Relaxation Labeling with Learning Automata.

Mandayam A. L. Thathachar, P. S. Sastry

IEEE Trans. Pattern Anal. Mach. Intell., 1986

1985

A new approach to the design of reinforcement schemes for learning automata.

M. A. L. Thathachar, P. S. Sastry

IEEE Trans. Syst. Man Cybern., 1985