Ambedkar Dukkipati

138 papers A* 17A 7B 17C 2Misc 1Journal 88Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrating Fourier analysis and deep learning for robust detection of deep fake brain magnetic resonance images. Pattern Recognit. Lett. Vaishnavi Ravi, Yogesh K. Sahu, Prabhas Reddy Onteru, Parag Dutta, Dhanshree Warokar, Padma Murali, Rajesh Katta, Ambedkar Dukkipati, Phaneendra K. Yalavarthy
2026	J	`jnl`	Sample Efficient Active Algorithms for Offline Reinforcement Learning. CoRR Soumyadeep Roy, Shashwat Kushwaha, Ambedkar Dukkipati
2025	A*	`conf`	Active Reinforcement Learning Strategies for Offline Policy Improvement. AAAI Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru
2025	A*	`conf`	Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks. AAAI Tony Gracious, Ambedkar Dukkipati
2025	J	`jnl`	Emergent Natural Language with Communication Games for Improving Image Captioning Capabilities without Additional Data. CoRR Parag Dutta, Ambedkar Dukkipati
2025	A*	`conf`	Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs. AAAI Tony Gracious, Arman Gupta, Ambedkar Dukkipati
2025	J	`jnl`	Predictive AI with External Knowledge Infusion for Stocks. CoRR Ambedkar Dukkipati, Kawin Mayilvaghanan, Naveen Kumar Pallekonda, Sai Prakash Hadnoor, Ranga Shaarad Ayyagari
2025	J	`jnl`	Semi-supervised Deep Transfer for Regression without Domain Alignment. CoRR Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan
2024	J	`jnl`	Active Reinforcement Learning Strategies for Offline Policy Improvement. CoRR Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta, Parag Dutta, Prabhas Reddy Onteru
2024	A	`conf`	Causal Feature Alignment: Learning to Ignore Spurious Background Features. WACV Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati
2024	J	`jnl`	Interaction Event Forecasting in Multi-Relational Recursive HyperGraphs: A Temporal Point Process Approach. CoRR Tony Gracious, Ambedkar Dukkipati
2024	—	`conf`	Learning to Switch off, Switch on, and Integrate Modalities in Large Pre-trained Transformers. MIPR Tejas Duseja, K. M. Annervaz, Jeevithiesh Duggani, Shyam Zacharia, Michael Free, Ambedkar Dukkipati
2024	J	`jnl`	Temporal Abstraction in Reinforcement Learning with Offline Data. CoRR Ranga Shaarad Ayyagari, Anurita Ghosh, Ambedkar Dukkipati
2023	Misc	`conf`	A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya
2023	C	`conf`	Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. ACML Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati
2023	J	`jnl`	Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. CoRR Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati
2023	A*	`conf`	Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting. AAAI Tony Gracious, Ambedkar Dukkipati
2023	J	`jnl`	Markov Decision Process with an External Temporal Process. CoRR Ranga Shaarad Ayyagari, Ambedkar Dukkipati
2023	J	`jnl`	Neural Temporal Point Process for Forecasting Higher Order and Directional Interactions. CoRR Tony Gracious, Arman Gupta, Ambedkar Dukkipati
2023	B	`conf`	Risk-Averse Combinatorial Semi-Bandits. ISIT Ranga Shaarad Ayyagari, Ambedkar Dukkipati
2022	A*	`conf`	Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions. NeurIPS Shubham Gupta, Ambedkar Dukkipati
2022	J	`jnl`	Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Sourabh Balgi, Ambedkar Dukkipati
2022	—	`conf`	Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. IPDPS Workshops Anoop Kumar, Vibha Balaji, M. A. Chandrashekar, Ambedkar Dukkipati, Sathish Vadhiyar
2022	A	`conf`	Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm. IROS Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai
2022	J	`jnl`	On consistency of constrained spectral clustering under representation-aware stochastic block model. CoRR Shubham Gupta, Ambedkar Dukkipati
2021	J	`jnl`	ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime. CoRR K. M. Annervaz, Pritam Kumar Nath, Ambedkar Dukkipati
2021	—	`conf`	Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. NAACL-HLT Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati
2021	J	`jnl`	An Inference Approach To Question Answering Over Knowledge Graphs. CoRR Aayushee Gupta, K. M. Annervaz, Ambedkar Dukkipati, Shubhashis Sengupta
2021	J	`jnl`	CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India. CoRR Ambedkar Dukkipati, Tony Gracious, Shubham Gupta
2021	J	`jnl`	Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. J. Complex Networks Shubham Gupta, Gururaj K, Ambedkar Dukkipati, Rui M. Castro
2021	A*	`conf`	Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. AAAI Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati
2021	J	`jnl`	Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees. CoRR Shubham Gupta, Ambedkar Dukkipati
2021	J	`jnl`	Representation Learning for Dynamic Hyperedges. CoRR Tony Gracious, Ambedkar Dukkipati
2021	J	`jnl`	Risk-Aware Algorithms for Combinatorial Semi-Bandits. CoRR Ranga Shaarad Ayyagari, Ambedkar Dukkipati
2021	J	`jnl`	SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. IEEE Trans. Medical Imaging Nilesh A. Kande, Rupali Dakhane, Ambedkar Dukkipati, Phaneendra K. Yalavarthy
2021	J	`jnl`	Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. CoRR Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai
2020	J	`jnl`	A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints. CoRR Shaarad A. R, Ambedkar Dukkipati
2020	J	`jnl`	Adversarial Context Aware Network Embeddings for Textual Networks. CoRR Tony Gracious, Ambedkar Dukkipati
2020	J	`jnl`	Contradistinguisher: Applying Vapnik's Philosophy to Unsupervised Domain Adaptation. CoRR Sourabh Balgi, Ambedkar Dukkipati
2020	A	`conf`	Networked Multi-Agent Reinforcement Learning with Emergent Communication. AAMAS Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati
2020	J	`jnl`	Networked Multi-Agent Reinforcement Learning with Emergent Communication. CoRR Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati
2020	A	`conf`	Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. AAMAS Shubham Gupta, Ambedkar Dukkipati
2019	A*	`conf`	A Generative Model for Dynamic Networks with Applications. AAAI Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
2019	J	`jnl`	A Statistical Model for Dynamic Networks with Neural Variational Inference. CoRR Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati
2019	J	`jnl`	Active Learning with Siamese Twins for Sequence Tagging. CoRR Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati
2019	A*	`conf`	CUDA: Contradistinguisher for Unsupervised Domain Adaptation. ICDM Sourabh Balgi, Ambedkar Dukkipati
2019	J	`jnl`	CUDA: Contradistinguisher for Unsupervised Domain Adaptation. CoRR Sourabh Balgi, Ambedkar Dukkipati
2019	—	`conf`	Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing. DeepLo@EMNLP-IJCNLP Somnath Basu Roy Chowdhury, K. M. Annervaz, Ambedkar Dukkipati
2019	A	`conf`	Learning to Segment With Image-Level Supervision. WACV Gaurav Pandey, Ambedkar Dukkipati
2019	J	`jnl`	On Voting Strategies and Emergent Communication. CoRR Shubham Gupta, Ambedkar Dukkipati
2019	J	`jnl`	Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. CoRR Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro
2019	A	`conf`	Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning. WACV Akshay Mehrotra, Ambedkar Dukkipati
2018	J	`jnl`	Evolving Latent Space Model for Dynamic Networks. CoRR Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
2018	J	`jnl`	Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing. CoRR Somnath Basu Roy Chowdhury, K. M. Annervaz, Ambedkar Dukkipati
2018	—	`conf`	Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing. NAACL-HLT K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
2018	J	`jnl`	Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing. CoRR K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
2018	B	`conf`	On Consistency of Compressive Spectral Clustering. ISIT Muni Sreenivas Pydi, Ambedkar Dukkipati
2018	J	`jnl`	On Gröbner bases and Krull dimension of residue class rings of polynomial rings over integral domains. J. Symb. Comput. Maria Francis, Ambedkar Dukkipati
2017	J	`jnl`	Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation. CoRR Gaurav Pandey, Ambedkar Dukkipati
2017	J	`jnl`	Analytic Connectivity in General Hypergraphs. CoRR Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria, Ambedkar Dukkipati
2017	A*	`conf`	Attentive Recurrent Comparators. ICML Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati
2017	J	`jnl`	Attentive Recurrent Comparators. CoRR Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati
2017	J	`jnl`	Discriminative Neural Topic Models. CoRR Gaurav Pandey, Ambedkar Dukkipati
2017	J	`jnl`	Generative Adversarial Residual Pairwise Networks for One Shot Learning. CoRR Akshay Mehrotra, Ambedkar Dukkipati
2017	J	`jnl`	Image Generation and Editing with Variational Info Generative AdversarialNetworks. CoRR Mahesh Gorijala, Ambedkar Dukkipati
2017	J	`jnl`	On Consistency of Compressive Spectral Clustering. CoRR Muni Sreenivas Pydi, Ambedkar Dukkipati
2017	J	`jnl`	Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques. J. Mach. Learn. Res. Debarghya Ghoshdastidar, Ambedkar Dukkipati
2017	A*	`conf`	Unsupervised Feature Learning with Discriminative Encoder. ICDM Gaurav Pandey, Ambedkar Dukkipati
2017	J	`jnl`	Unsupervised feature learning with discriminative encoder. CoRR Gaurav Pandey, Ambedkar Dukkipati
2017	B	`conf`	Variational methods for conditional multimodal deep learning. IJCNN Gaurav Pandey, Ambedkar Dukkipati
2016	J	`jnl`	A Gröbner Basis Algorithm for Computing the Krull Dimension of $A$-Algebras. CoRR Maria Francis, Ambedkar Dukkipati
2016	J	`jnl`	A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference. CoRR Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati, Ankush Chatterjee, Sanjay Podder
2016	J	`jnl`	Deep Variational Inference Without Pixel-Wise Reconstruction. CoRR Siddharth Agrawal, Ambedkar Dukkipati
2016	J	`jnl`	Learning With Jensen-Tsallis Kernels. IEEE Trans. Neural Networks Learn. Syst. Debarghya Ghoshdastidar, Ajay P. Adsul, Ambedkar Dukkipati
2016	B	`conf`	Mixture modeling with compact support distributions for unsupervised learning. IJCNN Ambedkar Dukkipati, Debarghya Ghoshdastidar, Jinu Krishnan
2016	A*	`conf`	On collapsed representation of hierarchical Completely Random Measures. ICML Gaurav Pandey, Ambedkar Dukkipati
2016	J	`jnl`	Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques. CoRR Debarghya Ghoshdastidar, Ambedkar Dukkipati
2016	J	`jnl`	Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes. CoRR Gaurav Pandey, Ambedkar Dukkipati
2015	A*	`conf`	A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning. ICML Debarghya Ghoshdastidar, Ambedkar Dukkipati
2015	J	`jnl`	A faster algorithm for testing polynomial representability of functions over finite integer rings. Theor. Comput. Sci. Ashwin Guha, Ambedkar Dukkipati
2015	J	`jnl`	An Algorithmic Characterization of Polynomial Functions over Z Algorithmica Ashwin Guha, Ambedkar Dukkipati
2015	J	`jnl`	Hierarchical Completely Random Measures for Mixed Membership Modelling. CoRR Gaurav Pandey, Ambedkar Dukkipati
2015	J	`jnl`	On Gröbner bases over rings and residue class polynomial rings with torsion. ACM Commun. Comput. Algebra Ambedkar Dukkipati, Nithish Pai, Maria Francis, Abhishek Dubey
2015	A*	`conf`	Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications. AAAI Debarghya Ghoshdastidar, Ambedkar Dukkipati
2014	—	`conf`	Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model. NIPS Debarghya Ghoshdastidar, Ambedkar Dukkipati
2014	J	`jnl`	Generalized Hash Functions based on Multivariate Ideal Lattices. CoRR Maria Francis, Ambedkar Dukkipati
2014	A*	`conf`	Learning by Stretching Deep Networks. ICML Gaurav Pandey, Ambedkar Dukkipati
2014	J	`jnl`	Macaulay-Buchberger Basis Theorem for Residue Class Rings with Torsion and Border Bases over Rings. CoRR Ambedkar Dukkipati, Nithish Pai, Maria Francis, Abhishek Dubey
2014	J	`jnl`	Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms. Autom. Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
2014	J	`jnl`	Reduced Gröbner bases and Macaulay-Buchberger Basis Theorem over Noetherian rings. J. Symb. Comput. Maria Francis, Ambedkar Dukkipati
2014	J	`jnl`	Smoothed Functional Algorithms for Stochastic Optimization Using ACM Trans. Model. Comput. Simul. Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
2014	A*	`conf`	Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions. CVPR Debarghya Ghoshdastidar, Ambedkar Dukkipati, Ajay P. Adsul, Aparna S. Vijayan
2014	J	`jnl`	Spectral Clustering with Jensen-type kernels and their multi-point extensions. CoRR Debarghya Ghoshdastidar, Ambedkar Dukkipati, Ajay P. Adsul, Aparna S. Vijayan
2014	A	`conf`	To go deep or wide in learning? AISTATS Gaurav Pandey, Ambedkar Dukkipati
2014	J	`jnl`	To go deep or wide in learning? CoRR Gaurav Pandey, Ambedkar Dukkipati
2013	J	`jnl`	Comprehensive Border Bases for Zero Dimensional Parametric Polynomial Ideals. CoRR Abhishek Dubey, Ambedkar Dukkipati
2013	A*	`conf`	Generative Maximum Entropy Learning for Multiclass Classification. ICDM Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram
2013	B	`conf`	Minimum description length principle for maximum entropy model selection. ISIT Gaurav Pandey, Ambedkar Dukkipati
2013	J	`jnl`	Newton based Stochastic Optimization using q-Gaussian Smoothed Functional Algorithms. CoRR Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
2013	A*	`conf`	On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications. AAAI Debarghya Ghoshdastidar, Ambedkar Dukkipati
2013	J	`jnl`	On Reduced Gröbner Basis and Macaulay-Buchberger Basis Theorem over Noetherian Rings CoRR Maria Francis, Ambedkar Dukkipati
2012	B	`conf`	A two stage selective averaging LDPC decoding. ISIT A. Dinesh Kumar, Ambedkar Dukkipati
2012	B	`conf`	An Algebraic Characterization of Rainbow Connectivity. CASC Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
2012	J	`jnl`	An Algorithmic Characterization of Polynomial Functions over Z_{p^n} CoRR Ashwin Guha, Ambedkar Dukkipati
2012	J	`jnl`	Complexity of Gröbner basis detection and border basis detection. Theor. Comput. Sci. Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
2012	J	`jnl`	Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification CoRR D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty
2012	J	`jnl`	Minimum Description Length Principle for Maximum Entropy Model Selection CoRR Gaurav Pandey, Ambedkar Dukkipati
2012	J	`jnl`	On Shore and Johnson properties for a Special Case of Csiszár f-divergences CoRR Jithin Vachery, Ambedkar Dukkipati
2012	J	`jnl`	On maximum entropy and minimum KL-divergence optimization by Gröbner basis methods. Appl. Math. Comput. Ambedkar Dukkipati
2012	J	`jnl`	On q-Gaussian kernel and its Reproducing Kernel Hilbert Space CoRR Debarghya Ghoshdastidar, Ambedkar Dukkipati
2012	J	`jnl`	Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions. CoRR Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
2012	J	`jnl`	q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization CoRR Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
2012	B	`conf`	q-Gaussian based Smoothed Functional algorithms for stochastic optimization. ISIT Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
2011	J	`jnl`	A Parallel Cylindrical Algebraic Decomposition Algorithm for Quantifier Elimination on Real Closed Fields CoRR Hari Krishna Malladi, Ambedkar Dukkipati
2011	J	`jnl`	A Two Stage Selective Averaging LDPC Decoding CoRR A. Dinesh Kumar, Ambedkar Dukkipati
2011	J	`jnl`	An Algebraic Characterization of Rainbow Connectivity CoRR Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
2011	B	`conf`	Border basis detection is NP-complete. ISSAC Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
2011	J	`jnl`	On Consensus under Polynomial Protocols CoRR Joel George Manathara, Ambedkar Dukkipati, Debasish Ghose
2011	J	`jnl`	On Gröbner Basis Detection for Zero-dimensional Ideals CoRR Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
2011	J	`jnl`	Tropical Algebraic approach to Consensus over Networks CoRR Joel George Manathara, Ambedkar Dukkipati, Debasish Ghose
2010	B	`conf`	An Algebraic Implicitization and Specialization of Minimum KL-Divergence Models. CASC Ambedkar Dukkipati, Joel George Manathara
2010	J	`jnl`	Border basis detection is NP-complete CoRR Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
2010	B	`conf`	Maximum Entropy Model Based Classification with Feature Selection. ICPR Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty
2010	C	`conf`	On Kolmogorov-Nagumo averages and nonextensive entropy. ISITA Ambedkar Dukkipati
2009	B	`conf`	Embedding maximum entropy models in algebraic varieties by Gröbner bases methods. ISIT Ambedkar Dukkipati
2008	J	`jnl`	Towards algebraic methods for maximum entropy estimation CoRR Ambedkar Dukkipati
2007	J	`jnl`	Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty
2007	J	`jnl`	Maximum Entropy in the framework of Algebraic Statistics: A First Step CoRR Ambedkar Dukkipati
2006	J	`jnl`	Nonextensive Pythagoras' Theorem CoRR Ambedkar Dukkipati
2006	J	`jnl`	On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2005	B	`conf`	Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2005	B	`conf`	Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework. ISIT Ambedkar Dukkipati, Narasimha Murty Musti, Shalabh Bhatnagar
2005	J	`jnl`	Uniqueness of Nonextensive entropy under Renyi's Recipe CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	J	`jnl`	Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	B	`conf`	Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. IEEE Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	J	`jnl`	Generalized Evolutionary Algorithm based on Tsallis Statistics CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2003	B	`conf`	Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. IEEE Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2002	B	`conf`	Selection by parts: 'selection in two episodes' in evolutionary algorithms. IEEE Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty