Selection by parts: 'selection in two episodes' in evolutionary algorithms. - Ambedkar Dukkipati; M. Narasimha Murty (IEEE Congress on Evolutionary Computation, 2002)

Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. - Ambedkar Dukkipati; M. Narasimha Murty; Shalabh Bhatnagar (IEEE Congress on Evolutionary Computation, 2003)

Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. - Ambedkar Dukkipati; M. Narasimha Murty; Shalabh Bhatnagar (IEEE Congress on Evolutionary Computation, 2004)

Generalized Evolutionary Algorithm based on Tsallis Statistics - Ambedkar Dukkipati; M. Narasimha Murty; Shalabh Bhatnagar (CoRR, 2004)

Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. - Ambedkar Dukkipati; M. Narasimha Murty; Shalabh Bhatnagar (Congress on Evolutionary Computation, 2005)

Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework. - Ambedkar Dukkipati; Narasimha Murty Musti; Shalabh Bhatnagar (ISIT, 2005)

Uniqueness of Nonextensive entropy under Renyi's Recipe - Ambedkar Dukkipati; M. Narasimha Murty; Shalabh Bhatnagar (CoRR, 2005)

On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions - Ambedkar Dukkipati; M. Narasimha Murty; Shalabh Bhatnagar (CoRR, 2006)

Nonextensive Pythagoras' Theorem - Ambedkar Dukkipati (CoRR, 2006)

Maximum Entropy in the framework of Algebraic Statistics: A First Step - Ambedkar Dukkipati (CoRR, 2007)

Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. - Ambedkar Dukkipati; Shalabh Bhatnagar; M. Narasimha Murty (Inf. Sci., 2007)

Towards algebraic methods for maximum entropy estimation - Ambedkar Dukkipati (CoRR, 2008)

Embedding maximum entropy models in algebraic varieties by Gröbner bases methods. - Ambedkar Dukkipati (ISIT, 2009)

An Algebraic Implicitization and Specialization of Minimum KL-Divergence Models. - Ambedkar Dukkipati; Joel George Manathara (CASC, 2010)

Maximum Entropy Model Based Classification with Feature Selection. - Ambedkar Dukkipati; Abhay Kumar Yadav; M. Narasimha Murty (ICPR, 2010)

On Kolmogorov-Nagumo averages and nonextensive entropy. - Ambedkar Dukkipati (ISITA, 2010)

Border basis detection is NP-complete. - Prabhanjan Vijendra Ananth; Ambedkar Dukkipati (ISSAC, 2011)

On Gröbner Basis Detection for Zero-dimensional Ideals - Prabhanjan Vijendra Ananth; Ambedkar Dukkipati (CoRR, 2011)

On Consensus under Polynomial Protocols - Joel George Manathara; Ambedkar Dukkipati; Debasish Ghose (CoRR, 2011)

Tropical Algebraic approach to Consensus over Networks - Joel George Manathara; Ambedkar Dukkipati; Debasish Ghose (CoRR, 2011)

A Parallel Cylindrical Algebraic Decomposition Algorithm for Quantifier Elimination on Real Closed Fields - Hari Krishna Malladi; Ambedkar Dukkipati (CoRR, 2011)

An Algebraic Characterization of Rainbow Connectivity. - Prabhanjan Vijendra Ananth; Ambedkar Dukkipati (CASC, 2012)

q-Gaussian based Smoothed Functional algorithms for stochastic optimization. - Debarghya Ghoshdastidar; Ambedkar Dukkipati; Shalabh Bhatnagar (ISIT, 2012)

A two stage selective averaging LDPC decoding. - A. Dinesh Kumar; Ambedkar Dukkipati (ISIT, 2012)

On maximum entropy and minimum KL-divergence optimization by Gröbner basis methods. - Ambedkar Dukkipati (Appl. Math. Comput., 2012)

On Shore and Johnson properties for a Special Case of Csiszár f-divergences - Jithin Vachery; Ambedkar Dukkipati (CoRR, 2012)

q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization - Debarghya Ghoshdastidar; Ambedkar Dukkipati; Shalabh Bhatnagar (CoRR, 2012)

An Algorithmic Characterization of Polynomial Functions over Z_{p^n} - Ashwin Guha; Ambedkar Dukkipati (CoRR, 2012)

On q-Gaussian kernel and its Reproducing Kernel Hilbert Space - Debarghya Ghoshdastidar; Ambedkar Dukkipati (CoRR, 2012)

Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification - D. M. V. Satya Sriram; Gaurav Pandey 001; Debarghya Ghoshdastidar; Ambedkar Dukkipati; M. Narasimha Murty (CoRR, 2012)

Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions. - Debarghya Ghoshdastidar; Ambedkar Dukkipati; Shalabh Bhatnagar (CoRR, 2012)

Complexity of Gröbner basis detection and border basis detection. - Prabhanjan Vijendra Ananth; Ambedkar Dukkipati (Theor. Comput. Sci., 2012)

On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications. - Debarghya Ghoshdastidar; Ambedkar Dukkipati (AAAI, 2013)

Generative Maximum Entropy Learning for Multiclass Classification. - Ambedkar Dukkipati; Gaurav Pandey 001; Debarghya Ghoshdastidar; Paramita Koley; D. M. V. Satya Sriram (ICDM, 2013)

Minimum description length principle for maximum entropy model selection. - Gaurav Pandey 001; Ambedkar Dukkipati (ISIT, 2013)

Comprehensive Border Bases for Zero Dimensional Parametric Polynomial Ideals. - Abhishek Dubey; Ambedkar Dukkipati (CoRR, 2013)

On Reduced Gröbner Basis and Macaulay-Buchberger Basis Theorem over Noetherian Rings - Maria Francis; Ambedkar Dukkipati (CoRR, 2013)

To go deep or wide in learning? - Gaurav Pandey 001; Ambedkar Dukkipati (AISTATS, 2014)

Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions. - Debarghya Ghoshdastidar; Ambedkar Dukkipati; Ajay P. Adsul; Aparna S. Vijayan (CVPR, 2014)

Learning by Stretching Deep Networks. - Gaurav Pandey 001; Ambedkar Dukkipati (ICML, 2014)

Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model. - Debarghya Ghoshdastidar; Ambedkar Dukkipati (NIPS, 2014)

Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms. - Debarghya Ghoshdastidar; Ambedkar Dukkipati; Shalabh Bhatnagar (Autom., 2014)

Macaulay-Buchberger Basis Theorem for Residue Class Rings with Torsion and Border Bases over Rings. - Ambedkar Dukkipati; Nithish Pai; Maria Francis; Abhishek Dubey (CoRR, 2014)

Generalized Hash Functions based on Multivariate Ideal Lattices. - Maria Francis; Ambedkar Dukkipati (CoRR, 2014)

Reduced Gröbner bases and Macaulay-Buchberger Basis Theorem over Noetherian rings. - Maria Francis; Ambedkar Dukkipati (J. Symb. Comput., 2014)

Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions. - Debarghya Ghoshdastidar; Ambedkar Dukkipati; Shalabh Bhatnagar (ACM Trans. Model. Comput. Simul., 2014)

Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications. - Debarghya Ghoshdastidar; Ambedkar Dukkipati (AAAI, 2015)

A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning. - Debarghya Ghoshdastidar; Ambedkar Dukkipati (ICML, 2015)

An Algorithmic Characterization of Polynomial Functions over Zpn. - Ashwin Guha; Ambedkar Dukkipati (Algorithmica, 2015)

On Gröbner bases over rings and residue class polynomial rings with torsion. - Ambedkar Dukkipati; Nithish Pai; Maria Francis; Abhishek Dubey (ACM Commun. Comput. Algebra, 2015)

Hierarchical Completely Random Measures for Mixed Membership Modelling. - Gaurav Pandey 001; Ambedkar Dukkipati (CoRR, 2015)

A faster algorithm for testing polynomial representability of functions over finite integer rings. - Ashwin Guha; Ambedkar Dukkipati (Theor. Comput. Sci., 2015)

On collapsed representation of hierarchical Completely Random Measures. - Gaurav Pandey 001; Ambedkar Dukkipati (ICML, 2016)

Mixture modeling with compact support distributions for unsupervised learning. - Ambedkar Dukkipati; Debarghya Ghoshdastidar; Jinu Krishnan (IJCNN, 2016)

Deep Variational Inference Without Pixel-Wise Reconstruction. - Siddharth Agrawal; Ambedkar Dukkipati (CoRR, 2016)

A Gröbner Basis Algorithm for Computing the Krull Dimension of $A$-Algebras. - Maria Francis; Ambedkar Dukkipati (CoRR, 2016)

Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes. - Gaurav Pandey 001; Ambedkar Dukkipati (CoRR, 2016)

A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference. - Biswajit Paria; K. M. Annervaz; Ambedkar Dukkipati; Ankush Chatterjee; Sanjay Podder (CoRR, 2016)

Learning With Jensen-Tsallis Kernels. - Debarghya Ghoshdastidar; Ajay P. Adsul; Ambedkar Dukkipati (IEEE Trans. Neural Networks Learn. Syst., 2016)

Unsupervised Feature Learning with Discriminative Encoder. - Gaurav Pandey 001; Ambedkar Dukkipati (ICDM, 2017)

Attentive Recurrent Comparators. - Pranav Shyam; Shubham Gupta; Ambedkar Dukkipati (ICML, 2017)

Variational methods for conditional multimodal deep learning. - Gaurav Pandey 001; Ambedkar Dukkipati (IJCNN, 2017)

Image Generation and Editing with Variational Info Generative AdversarialNetworks. - Mahesh Gorijala; Ambedkar Dukkipati (CoRR, 2017)

Analytic Connectivity in General Hypergraphs. - Ashwin Guha; Muni Sreenivas Pydi; Biswajit Paria; Ambedkar Dukkipati (CoRR, 2017)

Generative Adversarial Residual Pairwise Networks for One Shot Learning. - Akshay Mehrotra; Ambedkar Dukkipati (CoRR, 2017)

Discriminative Neural Topic Models. - Gaurav Pandey 001; Ambedkar Dukkipati (CoRR, 2017)

Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation. - Gaurav Pandey; Ambedkar Dukkipati (CoRR, 2017)

Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques. - Debarghya Ghoshdastidar; Ambedkar Dukkipati (J. Mach. Learn. Res., 2017)

On Consistency of Compressive Spectral Clustering. - Muni Sreenivas Pydi; Ambedkar Dukkipati (ISIT, 2018)

Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing. - K. M. Annervaz; Somnath Basu Roy Chowdhury; Ambedkar Dukkipati (NAACL-HLT, 2018)

Evolving Latent Space Model for Dynamic Networks. - Shubham Gupta; Gaurav Sharma; Ambedkar Dukkipati (CoRR, 2018)

On Gröbner bases and Krull dimension of residue class rings of polynomial rings over integral domains. - Maria Francis; Ambedkar Dukkipati (J. Symb. Comput., 2018)

A Generative Model for Dynamic Networks with Applications. - Shubham Gupta; Gaurav Sharma; Ambedkar Dukkipati (AAAI, 2019)

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing. - Somnath Basu Roy Chowdhury; K. M. Annervaz; Ambedkar Dukkipati (DeepLo@EMNLP-IJCNLP, 2019)

CUDA: Contradistinguisher for Unsupervised Domain Adaptation. - Sourabh Balgi; Ambedkar Dukkipati (ICDM, 2019)

Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning. - Akshay Mehrotra; Ambedkar Dukkipati (WACV, 2019)

Learning to Segment With Image-Level Supervision. - Gaurav Pandey 001; Ambedkar Dukkipati (WACV, 2019)

On Voting Strategies and Emergent Communication. - Shubham Gupta; Ambedkar Dukkipati (CoRR, 2019)

Active Learning with Siamese Twins for Sequence Tagging. - Rishi Hazra; Shubham Gupta; Ambedkar Dukkipati (CoRR, 2019)

Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. - Shubham Gupta; Ambedkar Dukkipati; Rui M. Castro (CoRR, 2019)

A Statistical Model for Dynamic Networks with Neural Variational Inference. - Shubham Gupta; Rui M. Castro; Ambedkar Dukkipati (CoRR, 2019)

Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. - Shubham Gupta; Ambedkar Dukkipati (AAMAS, 2020)

Networked Multi-Agent Reinforcement Learning with Emergent Communication. - Shubham Gupta; Rishi Hazra; Ambedkar Dukkipati (AAMAS, 2020)

Contradistinguisher: Applying Vapnik's Philosophy to Unsupervised Domain Adaptation. - Sourabh Balgi; Ambedkar Dukkipati (CoRR, 2020)

Adversarial Context Aware Network Embeddings for Textual Networks. - Tony Gracious; Ambedkar Dukkipati (CoRR, 2020)

A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints. - Shaarad A. R; Ambedkar Dukkipati (CoRR, 2020)

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. - Tony Gracious; Shubham Gupta; Arun Kanthali; Rui M. Castro; Ambedkar Dukkipati (AAAI, 2021)

Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. - Rishi Hazra; Parag Dutta; Shubham Gupta; Mohammed Abdul Qaathir; Ambedkar Dukkipati (NAACL-HLT, 2021)

Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. - Shubham Gupta; Gururaj K; Ambedkar Dukkipati; Rui M. Castro (J. Complex Networks, 2021)

Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. - Ambedkar Dukkipati; Rajarshi Banerjee; Ranga Shaarad Ayyagari; Dhaval Parmar Udaybhai (CoRR, 2021)

Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees. - Shubham Gupta; Ambedkar Dukkipati (CoRR, 2021)

CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India. - Ambedkar Dukkipati; Tony Gracious; Shubham Gupta (CoRR, 2021)

Risk-Aware Algorithms for Combinatorial Semi-Bandits. - Ranga Shaarad Ayyagari; Ambedkar Dukkipati (CoRR, 2021)

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime. - K. M. Annervaz; Pritam Kumar Nath; Ambedkar Dukkipati (CoRR, 2021)

Representation Learning for Dynamic Hyperedges. - Tony Gracious; Ambedkar Dukkipati (CoRR, 2021)

An Inference Approach To Question Answering Over Knowledge Graphs. - Aayushee Gupta; K. M. Annervaz; Ambedkar Dukkipati; Shubhashis Sengupta (CoRR, 2021)

SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. - Nilesh A. Kande; Rupali Dakhane; Ambedkar Dukkipati; Phaneendra K. Yalavarthy (IEEE Trans. Medical Imaging, 2021)

Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. - Anoop Kumar; Vibha Balaji; M. A. Chandrashekar; Ambedkar Dukkipati; Sathish Vadhiyar (IPDPS Workshops, 2022)

Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm. - Ambedkar Dukkipati; Rajarshi Banerjee; Ranga Shaarad Ayyagari; Dhaval Parmar Udaybhai (IROS, 2022)

Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions. - Shubham Gupta; Ambedkar Dukkipati (NeurIPS, 2022)

On consistency of constrained spectral clustering under representation-aware stochastic block model. - Shubham Gupta; Ambedkar Dukkipati (CoRR, 2022)

Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation. - Sourabh Balgi; Ambedkar Dukkipati (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting. - Tony Gracious; Ambedkar Dukkipati (AAAI, 2023)

Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. - Parag Dutta; Kawin Mayilvaghanan; Pratyaksha Sinha; Ambedkar Dukkipati (ACML, 2023)

Risk-Averse Combinatorial Semi-Bandits. - Ranga Shaarad Ayyagari; Ambedkar Dukkipati (ISIT, 2023)

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. - Aniruddha Adiga; Benjamin Hurt; Gursharn Kaur; Bryan Lewis 001; Madhav V. Marathe; Przemyslaw J. Porebski; Srinivasan Venkatramanan; Ambedkar Dukkipati; Tony Gracious; Shubham Gupta; Nihesh Rathod; Rajesh Sundaresan; et al. (WSC, 2023)

Neural Temporal Point Process for Forecasting Higher Order and Directional Interactions. - Tony Gracious; Arman Gupta; Ambedkar Dukkipati (CoRR, 2023)

Markov Decision Process with an External Temporal Process. - Ranga Shaarad Ayyagari; Ambedkar Dukkipati (CoRR, 2023)

Learning to Switch off, Switch on, and Integrate Modalities in Large Pre-trained Transformers. - Tejas Duseja; K. M. Annervaz; Jeevithiesh Duggani; Shyam Zacharia; Michael Free; Ambedkar Dukkipati (MIPR, 2024)

Causal Feature Alignment: Learning to Ignore Spurious Background Features. - Rahul Venkataramani; Parag Dutta; Vikram Melapudi; Ambedkar Dukkipati (WACV, 2024)

Interaction Event Forecasting in Multi-Relational Recursive HyperGraphs: A Temporal Point Process Approach. - Tony Gracious; Ambedkar Dukkipati (CoRR, 2024)

Temporal Abstraction in Reinforcement Learning with Offline Data. - Ranga Shaarad Ayyagari; Anurita Ghosh; Ambedkar Dukkipati (CoRR, 2024)

Active Reinforcement Learning Strategies for Offline Policy Improvement. - Ambedkar Dukkipati; Ranga Shaarad Ayyagari; Bodhisattwa Dasgupta; Parag Dutta; Prabhas Reddy Onteru (AAAI, 2025)

Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks. - Tony Gracious; Ambedkar Dukkipati (AAAI, 2025)

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs. - Tony Gracious; Arman Gupta; Ambedkar Dukkipati (AAAI, 2025)

Predictive AI with External Knowledge Infusion for Stocks. - Ambedkar Dukkipati; Kawin Mayilvaghanan; Naveen Kumar Pallekonda; Sai Prakash Hadnoor; Ranga Shaarad Ayyagari (CoRR, 2025)

Emergent Natural Language with Communication Games for Improving Image Captioning Capabilities without Additional Data. - Parag Dutta; Ambedkar Dukkipati (CoRR, 2025)