Balaraman Ravindran

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A system approach to network modeling for DDoS detection using a Naìve Bayesian classifier

Rajagopalan Vijayasarathy, Serugudi Venkataraman Raghavan, Balaraman Ravindran, 2011, 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011).

CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks

Balaraman Ravindran, Vishnu Sankar, S. Shivashankar, 2015, IJCAI.

Diversity driven attention model for query-based abstractive summarization

Balaraman Ravindran, Mitesh M. Khapra, Preksha Nema, 2017, ACL.

Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks

Srinivasan Parthasarathy, Balaraman Ravindran, Beethika Tripathi, 2019, Front. Genet..

Exploration for Multi-task Reinforcement Learning with Deep Generative Models pdf

Balaraman Ravindran, Sai Praveen Bangaru, J. S. Suhas, 2016, ArXiv.

Rate of change analysis for interestingness measures

Balaraman Ravindran, Abhishek Sharma, Nandan Sudarsanam, 2017, Knowledge and Information Systems.

Learning Interpretable Models Using an Oracle pdf

Balaraman Ravindran, Abhishek Ghose, Balaraman Ravindran, 2019, ArXiv.

HEMI: Hyperedge Majority Influence Maximization

Balaraman Ravindran, Ramasuri Narayanam, Varun Gangal, 2016, SocInf@IJCAI.

Goal directed molecule generation using Monte Carlo Tree Search pdf

Balaraman Ravindran, Karthik Raman, Anand A. Rajasekar, 2020, ArXiv.

Correlational Neural Networks

Hugo Larochelle, Balaraman Ravindran, Mitesh M. Khapra, 2015, Neural Computation.

HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar, Balaraman Ravindran, Srinivasan Parthasarathy, 2020, WebSci.

Improved Switching among Temporally Abstract Actions

Balaraman Ravindran, Doina Precup, Richard S. Sutton, 1998, NIPS.

SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes

Balaraman Ravindran, Andrew G. Barto, A. Barto, 2003, IJCAI.

Personalized Intelligent Tutoring System Using Reinforcement Learning

Balaraman Ravindran, Ankit Malpani, Hema Murthy, 2011, FLAIRS.

Intelligent Tutoring Systems using Reinforcement Learning to teach Autistic Students

Balaraman Ravindran, B. H. Sreenivasa Sarma, Balaraman Ravindran, 2007, HOIT.

Symmetries and Model Minimization in Markov Decision Processes

Balaraman Ravindran, Andrew G. Barto, A. Barto, 2001 .

Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing

Anand Raghunathan, Balaraman Ravindran, Athindran Ramesh Kumar, 2019, COMAD/CODS.

Tracking and stabilization of mechanical systems using reinforcement learning

Balaraman Ravindran, Arun D. Mahindrakar, Ramkrishna Pasumarthy, 2018, 2018 Indian Control Conference (ICC).

Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks pdf

Balaraman Ravindran, Aravind S. Lakshminarayanan, Peeyush Kumar, 2016, ArXiv.

Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning pdf

Balaraman Ravindran, Harish Kumar, Balaraman Ravindran, 2019, ArXiv.

Game theoretic network centrality: exact formulas and efficient algorithms

Balaraman Ravindran, Aadithya V. Karthik, 2010, AAMAS.

Shared Learning : Enhancing Reinforcement in $Q$-Ensembles pdf

Balaraman Ravindran, Rakesh R. Menon, 2017, ArXiv.

Successor Options : An Option Discovery Algorithm for Reinforcement Learning

Balaraman Ravindran, Rahul Ramesh, Manan Tomar, 2018 .

A Review of Automatic Summarization

Balaraman Ravindran, M. Saravanan, S. Raman, 2005 .

Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning pdf

Balaraman Ravindran, Sahil Sharma, Rahul Ramesh, 2017, ArXiv.

Optimal Resampling for Learning Small Models pdf

Balaraman Ravindran, Abhishek Ghose, Balaraman Ravindran, 2019, ArXiv.

Detection and Mitigation of High-Rate Flooding Attacks

George M. Mohay, Balaraman Ravindran, Alan Tickle, 2011 .

A probabilistic approach to multi-document summarization for generating a tiled summary

Balaraman Ravindran, M. Saravanan, S. Raman, 2005 .

Understanding the Role of Serotonin in Basal Ganglia through a Unified Model

Balaraman Ravindran, V. Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani, 2012, ICANN.

An Autoencoder Approach to Learning Bilingual Word Representations

Hugo Larochelle, Balaraman Ravindran, Mitesh M. Khapra, 2014, NIPS.

Active Learning Based Weak Supervision for Textual Survey Response Classification

Sangameshwar Patil, Balaraman Ravindran, Balaraman Ravindran, 2015, CICLing.

COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks

Balaraman Ravindran, Sayan Ranu, Saket Gurukar, 2015, SIGMOD Conference.

Personalized Web-page Rendering System

Balaraman Ravindran, Swapna Raj Prabakara Raj, Balaraman Ravindran, 2008, COMAD.

A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy

Balaraman Ravindran, Sukhendu Das, V. K. Panchal, 2006, ICVGIP.

Temporal analysis of telecom call graphs

Balaraman Ravindran, Saket Gurukar, Balaraman Ravindran, 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).

Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions

Anupam Joshi, Sumit Mittal, Balaraman Ravindran, 2012, ICWSM.

Improving legal information retrieval using an ontological framework

M. Saravanan, Balaraman Ravindran, S. Raman, 2009, Artificial Intelligence and Law.

Modular and hierarchical architectures

Balaraman Ravindran, S Sathiya Keerthi, 1997 .

Model Minimization in Hierarchical Reinforcement Learning

Balaraman Ravindran, Andrew G. Barto, A. Barto, 2002, SARA.

MCEIL: An Improved Scoring Function for Overlapping Community Detection using Seed Expansion Methods

Balaraman Ravindran, Prathamesh Deshpande, Balaraman Ravindran, 2017, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Deictic Option Schemas

Balaraman Ravindran, Andrew G. Barto, Vimal Mathew, 2007, IJCAI.

A probabilistic approach to multi-document summarization for generating a tiled summary

M. Saravanan, Balaraman Ravindran, S. Raman, 2005, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05).

A neural attention based approach for clickstream mining

Balaraman Ravindran, N ChandramohanT., Balaraman Ravindran, 2018, COMAD/CODS.

Successor Options: An Option Discovery Framework for Reinforcement Learning

Balaraman Ravindran, Rahul Ramesh, Manan Tomar, 2019, IJCAI.

Let’s Ask Again: Refine Network for Automatic Question Generation pdf

Balaraman Ravindran, Balaji Vasan Srinivasan, Mitesh M. Khapra, 2019, EMNLP.

Online Multi-Task Learning Using Active Sampling pdf

Balaraman Ravindran, Sahil Sharma, Balaraman Ravindran, 2017, ICLR.

Part Of Speech Tagging and Chunking with HMM and CRF

Balaraman Ravindran, Pranjal Awasthi, Delip Rao, 2006 .

Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings

Balaraman Ravindran, Nandan Sudarsanam, Balaraman Ravindran, 2018, Comput. Ind. Eng..

Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements

Shun-ichi Amari, Balaraman Ravindran, V. Srinivasa Chakravarthy, 2010, Neural Computation.

Hypergraph Clustering: A Modularity Maximization Approach pdf

Srinivasan Parthasarathy, Tarun Kumar, Balaraman Ravindran, 2018, ArXiv.

Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization

M. Saravanan, Balaraman Ravindran, S. Raman, 2008, IJCNLP.

Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality pdf

Nicholas R. Jennings, Tomasz P. Michalak, Balaraman Ravindran, 2014, J. Artif. Intell. Res..

Multi-view methods for protein structure comparison using latent dirichlet allocation

Balaraman Ravindran, S. Shivashankar, Ashish V. Tendulkar, 2011, Bioinform..

A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs

Balaraman Ravindran, Srinivasan Parthasarathy, Anasua Mitra, 2020, SDM.

Automated faceted reporting for web analytics

Balaraman Ravindran, Deepak Pai, Shyam Rajagopalan, 2013, Web-KR '13.

Mining Actionable Patterns

Balaraman Ravindran, Prabakararaj Swapna Raj, 2010, FLAIRS Conference.

Machine Learning to Predict the Incidence of Retinopathy of Prematurity

Vikas Kumar, Balaraman Ravindran, Aditya Verma, 2008, FLAIRS.

NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks

Balaraman Ravindran, Vimaladhasan Senthamizhan, Karthik Raman, 2020, bioRxiv.

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles pdf

Balaraman Ravindran, Aravind Rajeswaran, Sergey Levine, 2016, ICLR.

Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning

Balaraman Ravindran, Sai Nageswar Satchidanand, Harini Ananthapadmanaban, 2015, IJCAI.

Detection of Real-Time Intentions from Micro-blogs

Anupam Joshi, Sumit Mittal, Balaraman Ravindran, 2013, MobiQuitous.

iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer

Anand Kumar, Sutanu Chakraborti, Balaraman Ravindran, 2013, ICCBR.

Near Optimal Strategies for Targeted Marketing in Social Networks

Balaraman Ravindran, Ramasuri Narayanam, Ramakumar Pasumarthi, 2015, AAMAS.

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks pdf

Balaraman Ravindran, Sanchari Sen, Anand Raghunathan, 2020, ICLR.

Document Clustering using Lexical Chains

Balaraman Ravindran, Dipti Deodhare, Dinakar Jayarajan, 2007 .

Studying Indian Railways Network using hypergraphs

Balaraman Ravindran, Sai Nageswar Satchidanand, Siddharth Kumar Jain, 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).

Looking Under the Hood of Deep Neural Networks

Balaraman Ravindran, 2018, 2018 IEEE 25th International Conference on High Performance Computing (HiPC).

An Oscillatory Neural Network Model for Birdsong Learning and Generation: Implications for the Role of Dopamine in Song Learning

Balaraman Ravindran, V. Srinivasa Chakravarthy, M. Maya, 2018 .

Instructing a Reinforcement Learner

Balaraman Ravindran, N. PradyotKorupoluV., Manimaran Sivasamy Sivamurugan, 2012, FLAIRS.

Temporal Analysis of a Bus Transit Network

Balaraman Ravindran, Gitakrishnan Ramadurai, Manju Manohar Manjalavil, 2019, COMPLEX NETWORKS.

Hierarchical activity recognition for dementia care using Markov Logic Network

Susan Elias, Balaraman Ravindran, K. S. Gayathri, 2014, Personal and Ubiquitous Computing.

Visual Object Detection using Frequent Pattern Mining

Balaraman Ravindran, Yousuf Aboobaker Sait, Balaraman Ravindran, 2010, FLAIRS.

Dynamic Action Repetition for Deep Reinforcement Learning

Balaraman Ravindran, Aravind S. Lakshminarayanan, Sahil Sharma, 2017, AAAI.

RAIL: Risk-Averse Imitation Learning

Balaraman Ravindran, Dheevatsa Mudigere, Dipankar Das, 2018, AAMAS.

Is it hard to learn a classifier on this dataset?

Balaraman Ravindran, Nitin Shravan, Sudarsun Santhiappan, 2020, COMAD/CODS.

Recovering Free Space from a Single Two-Point Perspective Image for Mobile Robot Navigation for Indoor Applications

Balaraman Ravindran, T. Asokan, V. Bhanu Chander, 2019 .

Learning to Multi-Task by Active Sampling

Balaraman Ravindran, Parikshit Hegde, Sahil Sharma, 2017, ICLR.

Thresholding Bandits with Augmented UCB

Balaraman Ravindran, Nandan Sudarsanam, Kolar Purushothama Naveen, 2017, IJCAI.

A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay

Balaraman Ravindran, Nandan Sudarsanam, Dibu John Philip, 2018, HICSS.

RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees

Balaraman Ravindran, Manimaran Sivasamy Sivamurugan, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

TSEB: More Efficient Thompson Sampling for Policy Learning pdf

Balaraman Ravindran, A. P. Sarath Chandar, P. Prasanna, 2015, ArXiv.

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data

Avinash Reddy, Balaraman Ravindran, Gitakrishnan Ramadurai, 2018, 2018 10th International Conference on Communication Systems & Networks (COMSNETS).

Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems

Sutanu Chakraborti, Balaraman Ravindran, Debarun Kar, 2012, ICCBR.

Adaptive network intrusion detection system using a hybrid approach

Balaraman Ravindran, R. Rangadurai Karthick, Vipul P. Hattiwale, 2012, 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012).

ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)

Balaraman Ravindran, Sasikanth Avancha, Bharat Kaul, 2020, AAAI.

C3: Reinforcement Learning

Balaraman Ravindran, S KeerthiS, 1996 .

Multi Grain Sentiment Analysis using Collective Classification

Balaraman Ravindran, S. Shivashankar, 2010, ECAI.

Discovering hierarchies using Imitation Learning from hierarchy aware policies pdf

Balaraman Ravindran, Ameet Deshpande, K HarshavardhanP., 2018, ArXiv.

Transfer Learning with Differently-abled Robots

Balaraman Ravindran, Balaji Lakshmanan, 2008 .

Efficient Computation of the Shapley Value for Centrality in Networks

Nicholas R. Jennings, Tomasz P. Michalak, Balaraman Ravindran, 2010, WINE.

Improving Legal Document Summarization Using Graphical Models

M. Saravanan, Balaraman Ravindran, S. Raman, 2006, JURIX.

Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy

Srinivasan Parthasarathy, Balaraman Ravindran, Pratik Vinay Gupte, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning pdf

Balaraman Ravindran, J GirishRaguvir, Sahil Sharma, 2017, ArXiv.

Nonparametric Poisson Factorization Machine

Balaraman Ravindran, Joydeep Ghosh, Avijit Saha, 2015, 2015 IEEE International Conference on Data Mining.

Detection of keratoconus by semi-supervised learning

Balaraman Ravindran, Deepthi Cheboli, 2008 .

SEERL: Sample Efficient Ensemble Reinforcement Learning pdf

Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, 2020, ArXiv.

Scalable Bayesian Matrix Factorization

Balaraman Ravindran, Avijit Saha, Rishabh Misra, 2015, MUSE@PKDD/ECML.

Incremental Constrained Clustering: A Decision Theoretic Approach

Balaraman Ravindran, Swapna Raj Prabakara Raj, Balaraman Ravindran, 2013, PAKDD Workshops.

Hypergraph partitioning using tensor eigenvalue decomposition pdf

Balaraman Ravindran, Deepak Maurya, Balaraman Ravindran, 2020, PloS one.

Studying the plasticity in deep convolutional neural networks using random pruning

Balaraman Ravindran, Mitesh M. Khapra, Shweta Bhardwaj, 2018, Machine Vision and Applications.

Image Modeling Using Tree Structured Conditional Random Fields

Balaraman Ravindran, Pranjal Awasthi, Aakanksha Gagrani, 2007, IJCAI.

Generalized Random Surfer-Pair Models

Balaraman Ravindran, Venkatesh Ramaiyan, Sai Kiran Narayanaswami, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Efficiently Exploiting Symmetries in Real Time Dynamic Programming

Balaraman Ravindran, Shravan M. Narayanamurthy, Balaraman Ravindran, 2007, IJCAI.

Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning

K. Madhava Krishna, Balaraman Ravindran, Vignesh Prasad, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems pdf

Balaraman Ravindran, Suril V. Shah, Nahas Pareekutty, 2021, ArXiv.

Learning in a small world

Balaraman Ravindran, Arun Tejasvi Chaganty, Prateek Gaur, 2012, AAMAS.

Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling

Milind Tambe, Balaraman Ravindran, Bryan Wilder, 2020, AAMAS.

Multi-label collective classification in multi-attribute multi-relational network data

Balaraman Ravindran, Shivashankar Subramanian, Priyesh Vijayan, 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

Placement and routing for 3D-FPGAs using reinforcement learning and support vector machines

V. Kamakoti, R. Manimegalai, Balaraman Ravindran, 2005, 18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design.

Some Applications of Collective Learning

Balaraman Ravindran, 2014 .

Dynamic Class Learning Approach for Smart CBIR

Balaraman Ravindran, Sukhendu Das, Girraj Pahariya, 2017, NCVPRIPG.

How popular are your tweets?

Balaraman Ravindran, Avijit Saha, Janarthanan Rajendran, 2014, RecSysChallenge '14.

Successive refinement algorithms for distributed area coverage using mobile robots

Sriram Raghavan, Balaraman Ravindran, 2008, Bangalore Compute Conf..

RRT-HX: RRT With Heuristic Extend Operations for Motion Planning in Robotic Systems

Balaraman Ravindran, Suril V. Shah, Nahas Pareekutty, 2016 .

Towards Transparent and Explainable Attention Models

Balaraman Ravindran, Balaji Vasan Srinivasan, Mitesh M. Khapra, 2020, ACL.

DyVEDeep: Dynamic Variable Effort Deep Neural Networks pdf

Anand Raghunathan, Swagath Venkataramani, Balaraman Ravindran, 2017, ArXiv.

Modeling task-specific manifestations of serotonin in basal ganglia using risk-based decision making

Balaraman Ravindran, V Srinivasa Chakravarthy, Ahmed A Moustafa, 2014, BMC Neuroscience.

Edge Replacement Grammars: A Formal Language Approach for Generating Graphs

Balaraman Ravindran, A. P. Sarath Chandar, Revanth Reddy, 2019, SDM.

Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage

Sriram Raghavan, Balaraman Ravindran, 2007, SARA.

Activity Recognition for Natural Human Robot Interaction

Balaraman Ravindran, Addwiteey Chrungoo, Manimaran Sivasamy Sivamurugan, 2014, ICSR.

Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization

Balaraman Ravindran, Rachit Arora, Balaraman Ravindran, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Relativized Options: Choosing the Right Transformation

Balaraman Ravindran, Andrew G. Barto, A. Barto, 2003, ICML.

SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning.

K. Madhava Krishna, Balaraman Ravindran, Vignesh Prasad, 2016 .

Hypergraph clustering by iteratively reweighted modularity maximization

Balaraman Ravindran, Srinivasan Parthasarathy, Sankaran Vaidyanathan, 2020, Applied Network Science.

A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal pdf

Balaraman Ravindran, Pranshu Malviya, Pavan Ravishankar, 2020, ArXiv.

Use of neural and other function approximators in reinforcement learning

Balaraman Ravindran, S Sathiya Keerthi, Balaraman Ravindran, 1997 .

Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks

Balaraman Ravindran, Anoop Namboodiri, K Madhava Krishna, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems pdf

Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, 2019, ArXiv.

An Active Learning Framework for Efficient Robust Policy Search pdf

Balaraman Ravindran, Nandan Sudarsanam, Sai Kiran Narayanaswami, 2018, COMAD/CODS.

Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version)

Balaraman Ravindran, Ramasuri Narayanam, Varun Gangal, 2016, AAAI.

HOPF: Higher Order Propagation Framework for Deep Collective Classification pdf

Balaraman Ravindran, Mitesh M. Khapra, Priyesh Vijayan, 2018, ArXiv.

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning

Balaraman Ravindran, Manan Tomar, Akhil Sathuluri, 2019, AAMAS.

Lexical Chains as Document Features

Balaraman Ravindran, Dipti Deodhare, Dinakar Jayarajan, 2008, IJCNLP.

Fractional Moments on Bandit Problems pdf

Balaraman Ravindran, B. AnandaNarayanan, 2011, UAI.

Network Representation Learning: Consolidation and Renewed Bearing pdf

Srinivasan Parthasarathy, Moniba Keymanesh, Balaraman Ravindran, 2019, ArXiv.

Gaze Allocation Analysis for a Visually Guided Manipulation Task

Balaraman Ravindran, Jeremy L. Wyatt, Jose I. Nunez-Varela, 2012, SAB.

Options with Exceptions

Balaraman Ravindran, Munu Sairamesh, Balaraman Ravindran, 2011, EWRL.

DCEIL: Distributed Community Detection with the CEIL Score

Balaraman Ravindran, Rupesh Nasre, Akash Jain, 2017, 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

An Oscillatory Neural Network Model for Birdsong Learning and Generation

Balaraman Ravindran, V. Srinivasa Chakravarthy, Maya Manaithunai, 2010, ICANN.

Measuring network centrality using hypergraphs

Balaraman Ravindran, Sanjukta Roy, Balaraman Ravindran, 2015, CODS.

Co-SOFT-Clustering: An Information Theoretic Approach to Obtain Overlapping Clusters from Co-Occurrence Data

Balaraman Ravindran, P. Swaminathan, 2008, FLAIRS Conference.

Class Imbalance Learning

Balaraman Ravindran, Sudarsun Santhiappan, Balaraman Ravindran, 2017 .

Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement pdf

Milind Tambe, Balaraman Ravindran, Harshavardhan Kamarthi, 2020, ArXiv.

ExTra: Transfer-guided Exploration

Pabitra Mitra, Balaraman Ravindran, Anirban Santara, 2020, AAMAS.

Using Legal Ontology for Query Enhancement in Generating a Document Summary

M. Saravanan, Balaraman Ravindran, S. Raman, 2007, JURIX.

Linear Bandit algorithms using the Bootstrap pdf

Balaraman Ravindran, Nandan Sudarsanam, 2016, ArXiv.

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain

Balaraman Ravindran, Mitesh M. Khapra, Aravind S. Lakshminarayanan, 2015, ICLR.

A semi-supervised approach to growing classification trees

Balaraman Ravindran, Sudarsun Santhiappan, 2021, COMAD/CODS.

From multiple views to single view: a neural network approach

Balaraman Ravindran, A. P. Sarath Chandar, Subendhu Rongali, 2015, CODS.

Text Mining of Internet Content: The Bridge Connecting Product Research with Customers in the Digital Era

Balaraman Ravindran, N. R. Srinivasa Raghavan, Subramanian Shivashankar, 2009 .

On Incorporating Structural Information to improve Dialogue Response Generation pdf

Balaraman Ravindran, Mitesh M. Khapra, Nikita Moghe, 2020, NLP4CONVAI.

Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment

M. Saravanan, Balaraman Ravindran, Balaraman Ravindran, 2010, Artificial Intelligence and Law.

Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1 pdf

Balaraman Ravindran, Devika Jay, K.Shanti Swarup, 2021, ArXiv.

An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning

Balaraman Ravindran, V. Srinivasa Chakravarthy, Ahmed A. Moustafa, 2014, Front. Comput. Neurosci..

Reinforcement Learning for Improving Object Detection pdf

Balaraman Ravindran, Siddharth Nayak, Balaraman Ravindran, 2020, ECCV Workshops.

Epsilon Equitable Partition: A positional analysis method for large social networks

Balaraman Ravindran, Kiran Kate, 2009, COMAD.

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains pdf

Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, 2020, ArXiv.

Scalable Positional Analysis for Studying Evolution of Nodes in Networks pdf

Balaraman Ravindran, Pratik Vinay Gupte, Balaraman Ravindran, 2014, ArXiv.

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering

Srinivasan Parthasarathy, Tarun Kumar, Balaraman Ravindran, 2019, COMPLEX NETWORKS.

Latent dirichlet allocation based multi-document summarization

Balaraman Ravindran, Rachit Arora, Balaraman Ravindran, 2008, AND '08.

Inferring customer occupancy status in for-hire vehicles using PU Learning

Balaraman Ravindran, Nandan Sudarsanam, Vaishnavi Muralidharan, 2021, COMAD/CODS.

Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning pdf

Balaraman Ravindran, Arjun Manoharan, Rahul Ramesh, 2019, ECML/PKDD.

Learning to Prevent Monocular SLAM Failure using Reinforcement Learning

K. Madhava Krishna, Saurabh Singh, Balaraman Ravindran, 2018, ICVGIP.

Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering

Balaraman Ravindran, Peeyush Kumar, Ramnandan Krishnamurthy, 2016, 1605.05359.

Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning pdf

Balaraman Ravindran, Aravind S. Lakshminarayanan, Sahil Sharma, 2017, ICLR.

Network-based features enable prediction of essential genes across diverse organisms

Balaraman Ravindran, Karthik Raman, Karthik Azhagesan, 2018, PloS one.

Understanding Dynamic Scenes using Graph Convolution Networks pdf

Balaraman Ravindran, Anoop Namboodiri, K Madhava Krishna, 2020, ArXiv.

DiGrad: Multi-Task Reinforcement Learning with Shared Actions pdf

Abhishek Sarkar, K. Madhava Krishna, Balaraman Ravindran, 2018, ArXiv.

$A^2T$: Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources

Balaraman Ravindran, Mitesh M. Khapra, Aravind S. Lakshminarayanan, 2015 .

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks

Balaraman Ravindran, Mitesh M. Khapra, Shweta Bhardwaj, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Hierarchical Optimal Control of MDPs

Balaraman Ravindran, McGovern Amy, Precup Doina, 1998 .

Accurate mobile robot localization in indoor environments using bluetooth

Balaraman Ravindran, Harini Ananthapadmanaban, Manimaran Sivasamy Sivamurugan, 2010, 2010 IEEE International Conference on Robotics and Automation.

Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty pdf

Balaraman Ravindran, Harshavardhan Kamarthi, Milind Tambe, 2020, ArXiv.

Profiling Pseudonet Architecture for Coordinating Mobile Robots

Sriram Raghavan, Balaraman Ravindran, 2007, 2007 2nd International Conference on Communication Systems Software and Middleware.

Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach

Balaraman Ravindran, Edward F. Gehringer, Lakshmi Ramachandran, 2013, EDM.

Interpretability With Accurate Small Models

Balaraman Ravindran, Abhishek Ghose, Balaraman Ravindran, 2019, Frontiers in Artificial Intelligence.

Language Expansion In Text-Based Games pdf

Balaraman Ravindran, A. P. Sarath Chandar, Ghulam Ahmed Ansari, 2018, ArXiv.

MDP based active localization for multiple robots

K. Madhava Krishna, Balaraman Ravindran, Jyotika Bahuguna, 2009, 2009 IEEE International Conference on Automation Science and Engineering.

Dynamic Frame skip Deep Q Network pdf

Balaraman Ravindran, Aravind S. Lakshminarayanan, Sahil Sharma, 2016, ArXiv.

Relational Boosted Bandits pdf

Balaraman Ravindran, Sriraam Natarajan, Ashutosh Kakadiya, 2020, ArXiv.

Transfer learning across heterogeneous robots with action sequence mapping

Balaraman Ravindran, Balaji Lakshmanan, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A novel topic modeling based weighting framework for class imbalance learning

Balaraman Ravindran, Sudarsun Santhiappan, Jeshuren Chelladurai, 2018, COMAD/CODS.

A Reinforcement Learning Approach to Online Learning of Decision Trees pdf

Balaraman Ravindran, Aditi Raghunathan, Vaishnavh Nagarajan, 2015, ArXiv.

Trust And Distrust Across Coalitions-Shapley Value Centrality Measures For Signed Networks

Balaraman Ravindran, Varun Gangal, Abhishek Narwekar, 2015 .

ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources pdf

Balaraman Ravindran, Mitesh M. Khapra, Janarthanan Rajendran, 2015, ArXiv.

Where do i look now? Gaze allocation during visually guided manipulation

Balaraman Ravindran, Jeremy L. Wyatt, Jose I. Nunez-Varela, 2012, 2012 IEEE International Conference on Robotics and Automation.

Fusion Graph Convolutional Networks pdf

Balaraman Ravindran, Mitesh M. Khapra, Priyesh Vijayan, 2018, ArXiv.

Will your facebook post be engaging?

Balaraman Ravindran, Balaji Vasan Srinivasan, Shriram Revankar, 2013, UEO '13.

Online Multi-Task Learning Using Biased Sampling

Balaraman Ravindran, Sahil Sharma, Balaraman Ravindran, 2017 .

On the hardness of finding symmetries in Markov decision processes

Balaraman Ravindran, Shravan M. Narayanamurthy, Balaraman Ravindran, 2008, ICML '08.

Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data

Balaraman Ravindran, Nandan Sudarsanam, Dibu John Philip, 2018, Data Base.

Functional site prediction by exploiting correlations between labels of interacting residues

Balaraman Ravindran, Ashish V. Tendulkar, Saradindu Kar, 2012, BCB.

Delayed reinforcement learning methods

Balaraman Ravindran, S Sathiya Keerthi, Balaraman Ravindran, 1997 .

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Balaraman Ravindran, Mitesh M. Khapra, A. P. Sarath Chandar, 2015, NAACL.

Improved Switching among Temporally Abstract Actions". In Advances in Neural Information Processing Systems

Balaraman Ravindran, Doina Precup, Satinder Singh, 1999 .

Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates

Balaraman Ravindran, Nandan Sudarsanam, Subhojyoti Mukherjee, 2017, AAAI.

Abstraction in Reinforcement Learning in Terms of Metastability

Balaraman Ravindran, Vimal Mathew, Balaraman Ravindran, 2012 .

A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making

Balaraman Ravindran, V. Srinivasa Chakravarthy, Ahmed A. Moustafa, 2015, Front. Comput. Neurosci..

Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning

K. Madhava Krishna, Balaraman Ravindran, Vignesh Prasad, 2017, AAMAS.

MADRaS : Multi Agent Driving Simulator pdf

Balaraman Ravindran, Bharat Kaul, Abhishek Naik, 2020, J. Artif. Intell. Res..

Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework

Balaraman Ravindran, Vaibhav Gupta, Praveen Paruchuri, 2019, AAMAS.

Utility Driven Clustering

Balaraman Ravindran, Prabakararaj Swapna Raj, 2011, FLAIRS Conference.

Vehicle Classification on Low-resolution and Occluded images: A low-cost labeled dataset for augmentation

Balaraman Ravindran, Gitakrishnan Ramadurai, Kaushik Mitra, 2017 .

An Enhanced Advising Model in Teacher-Student Framework using State Categorization

Balaraman Ravindran, Praveen Paruchuri, Daksh Anand, 2021, AAAI.

Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis pdf

Balaraman Ravindran, Amrit Diggavi Seshadri, Balaraman Ravindran, 2021, ArXiv.

Hyperedge Prediction Using Tensor Eigenvalue Decomposition

Balaraman Ravindran, Deepak Maurya, Balaraman Ravindran, 2021, Journal of the Indian Institute of Science.

Corrective Filter Based on Kinematics of Human Hand for Pose Estimation

Balaraman Ravindran, Joseph H. R. Isaac, M. Manivannan, 2021, Frontiers in Virtual Reality.

Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty

Milind Tambe, Balaraman Ravindran, Harshavardhan Kamarthi, 2020, AAMAS.

Smooth Imitation Learning via Smooth Costs and Smooth Policies

Balaraman Ravindran, Sapana Chaudhary, Balaraman Ravindran, 2021, COMAD/CODS.

Understanding Convolutions on Graphs

Balaraman Ravindran, Gaurav Aggarwal, Ameya Daigavane, 2021, Distill.

Scalable multi-product inventory control with lead time constraints using reinforcement learning

Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal, 2021, Neural Computing and Applications.

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction

Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli, 2021, ICAPS.

Semi-Supervised Deep Learning for Multiplex Networks

Srinivasan Parthasarathy, Balaraman Ravindran, Diganta Goswami, 2021, KDD.

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal

Balaraman Ravindran, Pranshu Malviya, Pavan Ravishankar, 2021, ACML.

Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes pdf

Balaraman Ravindran, Pradeep Varakantham, Lovish Madaan, 2021, ArXiv.

SEERL: Sample Efficient Ensemble Reinforcement Learning

Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, 2021, AAMAS.

Dynamic probabilistic logic models for effective abstractions in RL pdf

Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli, 2021, ArXiv.

The Role of Basal Ganglia in Performing Simple Reaching Movements: A Computational Model

Balaraman Ravindran, S ChakravarthyV, Deepak Subramanian, 2009 .

Identifying the Basal Ganglia Network Model Markers for Medication-Induced Impulsivity in Parkinson's Disease Patients

Balaraman Ravindran, V. Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani, 2015, PloS one.

Workshop on Machine Learning for Autonomous Vehicles 2017

Silvio Savarese, Balaraman Ravindran, Raquel Urtasun, .

Correlational Neural Networks for Common Representation Learning

Balaraman Ravindran, Balaraman Ravindran, Sarath Chandar, 2015 .