Ambedkar Dukkipati

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Analytic Connectivity in General Hypergraphs pdf

Muni Sreenivas Pydi, Ashwin Guha, Biswajit Paria, 2017, ArXiv.

A Statistical Model for Dynamic Networks with Neural Variational Inference pdf

Ambedkar Dukkipati, Shubham Gupta, Rui M. Castro, 2019, ArXiv.

Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation

Ambedkar Dukkipati, Sourabh Balgi, 2020 .

Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals

M. Narasimha Murty, Shalabh Bhatnagar, Ambedkar Dukkipati, 2007, Inf. Sci..

An Algebraic Implicitization and Specialization of Minimum KL-Divergence Models

Ambedkar Dukkipati, Joel George Manathara, J. G. Manathara, 2010, CASC.

Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms

M. Narasimha Murty, Shalabh Bhatnagar, Ambedkar Dukkipati, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Deep Discriminative Learning for Unsupervised Domain Adaptation pdf

Ambedkar Dukkipati, Gaurav Pandey, AP Rohith, 2018, ArXiv.

A Parallel Cylindrical Algebraic Decomposition Algorithm for Quantifier Elimination on Real Closed Fields pdf

Hari Krishna Malladi, Ambedkar Dukkipati, 2011, ArXiv.

Deep Variational Inference Without Pixel-Wise Reconstruction pdf

Ambedkar Dukkipati, Siddharth Agrawal, 2016, ArXiv.

A Generative Model for Dynamic Networks with Applications

Gaurav Sharma, Ambedkar Dukkipati, Shubham Gupta, 2018, AAAI.

Learning by Stretching Deep Networks

Ambedkar Dukkipati, Gaurav Pandey, 2014, ICML.

Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing pdf

Ambedkar Dukkipati, K. M. Annervaz, Somnath Basu Roy Chowdhury, 2018, NAACL.

Contradistinguisher: Applying Vapnik's Philosophy to Unsupervised Domain Adaptation pdf

Ambedkar Dukkipati, Sourabh Balgi, 2020, ArXiv.

Information theoretic justification of Boltzmann selection and its generalization to Tsallis case

M. Narasimha Murty, Shalabh Bhatnagar, Ambedkar Dukkipati, 2005, 2005 IEEE Congress on Evolutionary Computation.

Mixture modeling with compact support distributions for unsupervised learning

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Jinu Krishnan, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Border basis detection is NP-complete

Ambedkar Dukkipati, Prabhanjan Vijendra Ananth, 2011, ISSAC '11.

Comprehensive Border Bases for Zero Dimensional Parametric Polynomial Ideals pdf

Abhishek Dubey, Ambedkar Dukkipati, 2013, ArXiv.

Image Generation and Editing with Variational Info Generative AdversarialNetworks pdf

Ambedkar Dukkipati, Mahesh Gorijala, Ambedkar Dukkipati, 2017, ArXiv.

A Generalization of Buchberger Result to Residue Class Polynomial Rings with Torsion and Border Bases over Noetherian Rings

Ambedkar Dukkipati, Nithish Pai, Maria Francis, 2014 .

Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation pdf

Ambedkar Dukkipati, Gaurav Pandey, Ambedkar Dukkipati, 2017, ArXiv.

Towards algebraic methods for maximum entropy estimation pdf

Ambedkar Dukkipati, 2008, ArXiv.

Networked Multi-Agent Reinforcement Learning with Emergent Communication pdf

Rishi Hazra, Ambedkar Dukkipati, Shubham Gupta, 2020, AAMAS.

Active Learning with Siamese Twins for Sequence Tagging pdf

Rishi Hazra, Ambedkar Dukkipati, Shubham Gupta, 2019, ArXiv.

Discriminative Neural Topic Models pdf

Ambedkar Dukkipati, Gaurav Pandey, 2017, ArXiv.

On Shore and Johnson properties for a Special Case of Csiszár f-divergences pdf

Ambedkar Dukkipati, Jithin Vachery, Ambedkar Dukkipati, 2012, ArXiv.

Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications

Ambedkar Dukkipati, Debarghya Ghoshdastidar, 2015, AAAI.

Learning With Jensen-Tsallis Kernels

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Ajay P. Adsul, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Uniqueness of Nonextensive entropy under Renyi's Recipe pdf

M. Narasimha Murty, Shalabh Bhatnagar, Ambedkar Dukkipati, 2005, ArXiv.

Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms pdf

Shalabh Bhatnagar, Ambedkar Dukkipati, Debarghya Ghoshdastidar, 2013, Autom..

On Consensus under Polynomial Protocols pdf

Debasish Ghose, Ambedkar Dukkipati, Joel George Manathara, 2011, ArXiv.

Variational methods for conditional multimodal deep learning

Ambedkar Dukkipati, Gaurav Pandey, Ambedkar Dukkipati, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Macaulay-Buchberger Basis Theorem for Residue Class Rings with Torsion and Border Bases over Rings pdf

Abhishek Dubey, Ambedkar Dukkipati, Nithish Pai, 2014, ArXiv.

Attentive Recurrent Comparators pdf

Ambedkar Dukkipati, Shubham Gupta, Pranav Shyam, 2017, ICML.

On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions pdf

M. Narasimha Murty, Shalabh Bhatnagar, Ambedkar Dukkipati, 2006, ArXiv.

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

Ambedkar Dukkipati, Shubham Gupta, Rui M. Castro, 2019 .

SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images

Ambedkar Dukkipati, Nilesh A. Kande, Rupali Dakhane, 2020, IEEE Transactions on Medical Imaging.

Generalized Evolutionary Algorithm based on Tsallis Statistics

M. Narasimha Murty, Shalabh Bhatnagar, Ambedkar Dukkipati, 2004, ArXiv.

Nonextensive Pythagoras' Theorem pdf

Ambedkar Dukkipati, Ambedkar Dukkipati, 2006, ArXiv.

On q-Gaussian kernel and its Reproducing Kernel Hilbert Space pdf

Ambedkar Dukkipati, Debarghya Ghoshdastidar, 2012, ArXiv.

Unsupervised Feature Learning with Discriminative Encoder

Ambedkar Dukkipati, Gaurav Pandey, Ambedkar Dukkipati, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

On Ideal Lattices and Gröbner Bases pdf

Ambedkar Dukkipati, Maria Francis, 2014, ArXiv.

On Gröbner bases over rings and residue class polynomial rings with torsion

Abhishek Dubey, Ambedkar Dukkipati, Nithish Pai, 2015, ACCA.

On collapsed representation of hierarchical Completely Random Measures

Ambedkar Dukkipati, Gaurav Pandey, Ambedkar Dukkipati, 2015, ICML.

Generative Maximum Entropy Learning for Multiclass Classification

Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, 2012, 2013 IEEE 13th International Conference on Data Mining.

Generalized Hash Functions based on Multivariate Ideal Lattices pdf

Ambedkar Dukkipati, Maria Francis, Ambedkar Dukkipati, 2014, ArXiv.

Adversarial Context Aware Network Embeddings for Textual Networks pdf

Ambedkar Dukkipati, Tony Gracious, 2020, ArXiv.

Reduced Gröbner bases and Macaulay-Buchberger Basis Theorem over Noetherian rings

Ambedkar Dukkipati, Maria Francis, 2014, J. Symb. Comput..

Complexity of Gröbner basis detection and border basis detection

Ambedkar Dukkipati, Prabhanjan Vijendra Ananth, Ambedkar Dukkipati, 2012, Theor. Comput. Sci..

Hierarchical Completely Random Measures for Mixed Membership Modelling pdf

Ambedkar Dukkipati, Gaurav Pandey, 2015, ArXiv.

On Gröbner Basis Detection for Zero-dimensional Ideals pdf

Ambedkar Dukkipati, Prabhanjan Vijendra Ananth, 2011, ArXiv.

q-Gaussian based Smoothed Functional algorithms for stochastic optimization

Shalabh Bhatnagar, Ambedkar Dukkipati, Debarghya Ghoshdastidar, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

A faster algorithm for testing polynomial representability of functions over finite integer rings

Ashwin Guha, Ambedkar Dukkipati, Ambedkar Dukkipati, 2014, Theor. Comput. Sci..

Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes pdf

Ambedkar Dukkipati, Shubham Gupta, Rui M. Castro, 2019, ArXiv.

A Gröbner Basis Algorithm for Computing the Krull Dimension of $A$-Algebras pdf

Ambedkar Dukkipati, Maria Francis, 2016, ArXiv.

Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Ambedkar Dukkipati, 2014, NIPS.

CUDA: Contradistinguisher for Unsupervised Domain Adaptation

Ambedkar Dukkipati, Sourabh Balgi, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Maximum Entropy in the framework of Algebraic Statistics: A First Step pdf

Ambedkar Dukkipati, Ambedkar Dukkipati, 2007, ArXiv.

Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions pdf

Shalabh Bhatnagar, Ambedkar Dukkipati, Debarghya Ghoshdastidar, 2012, TOMC.

On Kolmogorov-Nagumo averages and nonextensive entropy

Ambedkar Dukkipati, 2010, 2010 International Symposium On Information Theory & Its Applications.

Tropical Algebraic approach to Consensus over Networks pdf

Debasish Ghose, Ambedkar Dukkipati, Joel George Manathara, 2011, ArXiv.

Spectral Clustering via Graph Filtering: Consistency on the High-Dimensional Stochastic Block Model

Muni Sreenivas Pydi, Ambedkar Dukkipati, 2017 .

Active$^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging

Rishi Hazra, Ambedkar Dukkipati, Shubham Gupta, 2019 .

An Algorithmic Characterization of Polynomial Functions over ${\mathbb{Z}}_{p^{n}} $

Ashwin Guha, Ambedkar Dukkipati, 2013, Algorithmica.

Maximum Entropy Model Based Classification with Feature Selection

M. Narasimha Murty, Ambedkar Dukkipati, Abhay Kumar Yadav, 2010, 2010 20th International Conference on Pattern Recognition.

Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework

Shalabh Bhatnagar, Ambedkar Dukkipati, Narasimha Murty Musti, 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

On maximum entropy and minimum KL-divergence optimization by Gröbner basis methods

Ambedkar Dukkipati, Ambedkar Dukkipati, 2012, Appl. Math. Comput..

On Voting Strategies and Emergent Communication pdf

Ambedkar Dukkipati, Shubham Gupta, 2019, ArXiv.

On Gröbner bases and Krull dimension of residue class rings of polynomial rings over integral domains

Ambedkar Dukkipati, Maria Francis, 2018, J. Symb. Comput..

A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Ambedkar Dukkipati, 2015, ICML.

A two stage selective averaging LDPC decoding

Ambedkar Dukkipati, A. Dinesh Kumar, Ambedkar Dukkipati, 2011, 2012 IEEE International Symposium on Information Theory Proceedings.

Evolving Latent Space Model for Dynamic Networks pdf

Gaurav Sharma, Ambedkar Dukkipati, Shubham Gupta, 2018, ArXiv.

Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes pdf

Ambedkar Dukkipati, Gaurav Pandey, Ambedkar Dukkipati, 2016, ArXiv.

On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Ambedkar Dukkipati, 2012, AAAI.

Generative Adversarial Residual Pairwise Networks for One Shot Learning pdf

Ambedkar Dukkipati, Akshay Mehrotra, Ambedkar Dukkipati, 2017, ArXiv.

Embedding maximum entropy models in algebraic varieties by Gröbner bases methods

Ambedkar Dukkipati, Ambedkar Dukkipati, 2009, 2009 IEEE International Symposium on Information Theory.

An Algorithmic Characterization of Polynomial Functions over Z_{p^n} pdf

Ashwin Guha, Ambedkar Dukkipati, 2012, ArXiv.

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing pdf

Ambedkar Dukkipati, K. M. Annervaz, Somnath Basu Roy Chowdhury, 2018, EMNLP.

Minimum description length principle for maximum entropy model selection

Ambedkar Dukkipati, Gaurav Pandey, 2013, 2013 IEEE International Symposium on Information Theory.

Learning to Segment With Image-Level Supervision

Ambedkar Dukkipati, Gaurav Pandey, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

To go deep or wide in learning?

Ambedkar Dukkipati, Gaurav Pandey, 2014, AISTATS.

An Algebraic Characterization of Rainbow Connectivity

Ambedkar Dukkipati, Prabhanjan Vijendra Ananth, Ambedkar Dukkipati, 2011, CASC.

A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints pdf

Ambedkar Dukkipati, R ShaaradA., 2020, ArXiv.

ACE-Model: A Conceptual Evolutionary Model For Evolutionary Computation And Artificial Life

Ambedkar Dukkipati, Ambedkar Dukkipati, 2002 .

Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning

Ambedkar Dukkipati, Akshay Mehrotra, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification pdf

M. Narasimha Murty, Ambedkar Dukkipati, Gaurav Pandey, 2012, ArXiv.

Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Ambedkar Dukkipati, 2016, J. Mach. Learn. Res..

On Consistency of Compressive Spectral Clustering

Muni Sreenivas Pydi, Ambedkar Dukkipati, Ambedkar Dukkipati, 2017, 2018 IEEE International Symposium on Information Theory (ISIT).

Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach

Ambedkar Dukkipati, Shubham Gupta, Ambedkar Dukkipati, 2019 .

A Preprocessor Based on Clause Normal Forms and Virtual Substitutions to Parallelize Cylindrical Algebraic Decomposition

Hari Krishna Malladi, Ambedkar Dukkipati, 2011 .

A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference pdf

Biswajit Paria, Ambedkar Dukkipati, K. M. Annervaz, 2016, ArXiv.

Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions

Ambedkar Dukkipati, Debarghya Ghoshdastidar, Ajay P. Adsul, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation pdf

Ambedkar Dukkipati, Rishi Hazra, Parag Dutta, 2021, NAACL 2021.

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

Ambedkar Dukkipati, Tony Gracious, Arun Kanthali, 2021, AAAI.

Risk-Aware Algorithms for Combinatorial Semi-Bandits pdf

Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Ambedkar Dukkipati, 2021, ArXiv.

CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India pdf

Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, 2021, ArXiv.

Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation pdf

Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Rajarshi Banerjee, 2021, ArXiv.

An Inference Approach To Question Answering Over Knowledge Graphs pdf

Ambedkar Dukkipati, K. M. Annervaz, Shubhashis Sengupta, 2021, ArXiv.

Active^2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation

Rishi Hazra, Ambedkar Dukkipati, Shubham Gupta, 2019, NAACL.

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime pdf

Ambedkar Dukkipati, K. M. Annervaz, Pritam Kumar Nath, 2021, ArXiv.

Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees pdf

Ambedkar Dukkipati, Shubham Gupta, Ambedkar Dukkipati, 2021, ArXiv.

Representation Learning for Dynamic Hyperedges pdf

Ambedkar Dukkipati, Tony Gracious, Ambedkar Dukkipati, 2021, ArXiv.

On ideal lattices, Grobner bases and generalized hash functions

Ambedkar Dukkipati, Maria Francis, 2017 .

On parametric and implicit algebraic descriptions of maximum entropy models

Ambedkar Dukkipati, Ambedkar Dukkipati, 2008 .

Gr\"{o}bner Basis Theory for Modules over Polynomial Rings over Fields with Valuation

Aritra Sen, Ambedkar Dukkipati, Ambedkar Dukkipati, 2014, 1404.7379.