Ambedkar Dukkipati

CoRR, 2023

Neural Temporal Point Process for Forecasting Higher Order and Directional Interactions.

[BibT_eX]

[DOI]

Arman Gupta

CoRR, 2023

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India.

[BibT_eX]

[DOI]

Przemyslaw J. Porebski

Srinivasan Venkatramanan

Proceedings of the Winter Simulation Conference, 2023

Risk-Averse Combinatorial Semi-Bandits.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Sourabh Balgi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

On consistency of constrained spectral clustering under representation-aware stochastic block model.

[BibT_eX]

[DOI]

CoRR, 2022

Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm.

[BibT_eX]

[DOI]

Rajarshi Banerjee

Dhaval Parmar Udaybhai

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

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

[BibT_eX]

[DOI]

Nilesh A. Kande

Rupali Dakhane

Phaneendra K. Yalavarthy

IEEE Trans. Medical Imaging, 2021

An Inference Approach To Question Answering Over Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Representation Learning for Dynamic Hyperedges.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

K. M. Annervaz

Pritam Kumar Nath

CoRR, 2021

Risk-Aware Algorithms for Combinatorial Semi-Bandits.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Rajarshi Banerjee

Dhaval Parmar Udaybhai

CoRR, 2021

Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates.

[BibT_eX]

[DOI]

J. Complex Networks, 2021

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

[BibT_eX]

[DOI]

Rishi Hazra

Parag Dutta

Mohammed Abdul Qaathir

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

Shaarad A. R

CoRR, 2020

Adversarial Context Aware Network Embeddings for Textual Networks.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Sourabh Balgi

CoRR, 2020

Networked Multi-Agent Reinforcement Learning with Emergent Communication.

[BibT_eX]

[DOI]

Rishi Hazra

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

A Statistical Model for Dynamic Networks with Neural Variational Inference.

[BibT_eX]

[DOI]

Rui M. Castro

CoRR, 2019

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

[BibT_eX]

[DOI]

Rui M. Castro

CoRR, 2019

Active Learning with Siamese Twins for Sequence Tagging.

[BibT_eX]

[DOI]

Rishi Hazra

CoRR, 2019

On Voting Strategies and Emergent Communication.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Segment With Image-Level Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

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

[BibT_eX]

[DOI]

Akshay Mehrotra

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

CUDA: Contradistinguisher for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Sourabh Balgi

Somnath Basu Roy Chowdhury

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

[BibT_eX]

[DOI]

K. M. Annervaz

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

A Generative Model for Dynamic Networks with Applications.

[BibT_eX]

[DOI]

Gaurav Sharma

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

[BibT_eX]

[DOI]

J. Symb. Comput., 2018

Evolving Latent Space Model for Dynamic Networks.

[BibT_eX]

[DOI]

Gaurav Sharma

Somnath Basu Roy Chowdhury

CoRR, 2018

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

[BibT_eX]

[DOI]

K. M. Annervaz

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

On Consistency of Compressive Spectral Clustering.

[BibT_eX]

[DOI]

Muni Sreenivas Pydi

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Discriminative Neural Topic Models.

[BibT_eX]

[DOI]

CoRR, 2017

Generative Adversarial Residual Pairwise Networks for One Shot Learning.

[BibT_eX]

[DOI]

Akshay Mehrotra

CoRR, 2017

Analytic Connectivity in General Hypergraphs.

[BibT_eX]

[DOI]

CoRR, 2017

Image Generation and Editing with Variational Info Generative AdversarialNetworks.

[BibT_eX]

[DOI]

Mahesh Gorijala

CoRR, 2017

Variational methods for conditional multimodal deep learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Attentive Recurrent Comparators.

[BibT_eX]

[DOI]

Pranav Shyam

Proceedings of the 34th International Conference on Machine Learning, 2017

Unsupervised Feature Learning with Discriminative Encoder.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Learning With Jensen-Tsallis Kernels.

[BibT_eX]

[DOI]

Ajay P. Adsul

IEEE Trans. Neural Networks Learn. Syst., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Deep Variational Inference Without Pixel-Wise Reconstruction.

[BibT_eX]

[DOI]

Siddharth Agrawal

CoRR, 2016

Mixture modeling with compact support distributions for unsupervised learning.

[BibT_eX]

[DOI]

Jinu Krishnan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

On collapsed representation of hierarchical Completely Random Measures.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

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

[BibT_eX]

[DOI]

Ashwin Guha

Theor. Comput. Sci., 2015

Hierarchical Completely Random Measures for Mixed Membership Modelling.

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

ACM Commun. Comput. Algebra, 2015

An Algorithmic Characterization of Polynomial Functions over Zpn.

[BibT_eX]

[DOI]

Ashwin Guha

Algorithmica, 2015

A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

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

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2014

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

[BibT_eX]

[DOI]

J. Symb. Comput., 2014

Generalized Hash Functions based on Multivariate Ideal Lattices.

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Autom., 2014

Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning by Stretching Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

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

[BibT_eX]

[DOI]

Ajay P. Adsul

Aparna S. Vijayan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

To go deep or wide in learning?

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

On Reduced Gröbner Basis and Macaulay-Buchberger Basis Theorem over Noetherian Rings

[BibT_eX]

[DOI]

CoRR, 2013

Comprehensive Border Bases for Zero Dimensional Parametric Polynomial Ideals.

[BibT_eX]

[DOI]

Abhishek Dubey

CoRR, 2013

Minimum description length principle for maximum entropy model selection.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Generative Maximum Entropy Learning for Multiclass Classification.

[BibT_eX]

[DOI]

Paramita Koley

D. M. V. Satya Sriram

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

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

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Complexity of Gröbner basis detection and border basis detection.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2012

Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions.

[BibT_eX]

[DOI]

CoRR, 2012

Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification

[BibT_eX]

[DOI]

D. M. V. Satya Sriram

CoRR, 2012

On q-Gaussian kernel and its Reproducing Kernel Hilbert Space

[BibT_eX]

[DOI]

CoRR, 2012

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

[BibT_eX]

[DOI]

Ashwin Guha

CoRR, 2012

q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization

[BibT_eX]

[DOI]

CoRR, 2012

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

[BibT_eX]

[DOI]

Jithin Vachery

CoRR, 2012

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

[BibT_eX]

[DOI]

Appl. Math. Comput., 2012

A two stage selective averaging LDPC decoding.

[BibT_eX]

[DOI]

A. Dinesh Kumar

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

q-Gaussian based Smoothed Functional algorithms for stochastic optimization.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

An Algebraic Characterization of Rainbow Connectivity.

[BibT_eX]

[DOI]

Proceedings of the Computer Algebra in Scientific Computing - 14th International Workshop, 2012

2011

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

[BibT_eX]

[DOI]

Hari Krishna Malladi

CoRR, 2011

Tropical Algebraic approach to Consensus over Networks

[BibT_eX]

[DOI]

Joel George Manathara

Debasish Ghose

CoRR, 2011

On Consensus under Polynomial Protocols

[BibT_eX]

[DOI]

Joel George Manathara

Debasish Ghose

CoRR, 2011

On Gröbner Basis Detection for Zero-dimensional Ideals

[BibT_eX]

[DOI]

CoRR, 2011

Border basis detection is NP-complete.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Algebraic Computation, International Symposium, 2011

2010

On Kolmogorov-Nagumo averages and nonextensive entropy.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Information Theory and its Applications, 2010

Maximum Entropy Model Based Classification with Feature Selection.

[BibT_eX]

[DOI]

Abhay Kumar Yadav

Proceedings of the 20th International Conference on Pattern Recognition, 2010

An Algebraic Implicitization and Specialization of Minimum KL-Divergence Models.

[BibT_eX]

[DOI]

Joel George Manathara

Proceedings of the Computer Algebra in Scientific Computing - 12th International Workshop, 2010

2009

Embedding maximum entropy models in algebraic varieties by Gröbner bases methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

2008

Towards algebraic methods for maximum entropy estimation

[BibT_eX]

[DOI]

CoRR, 2008

2007

Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals.

[BibT_eX]

[DOI]

Inf. Sci., 2007

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

[BibT_eX]

[DOI]

CoRR, 2007

2006

Nonextensive Pythagoras' Theorem

[BibT_eX]

[DOI]

CoRR, 2006

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

[BibT_eX]

[DOI]

CoRR, 2006

2005

Uniqueness of Nonextensive entropy under Renyi's Recipe

[BibT_eX]

[DOI]

CoRR, 2005

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

[BibT_eX]

[DOI]

Narasimha Murty Musti

Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Generalized Evolutionary Algorithm based on Tsallis Statistics

[BibT_eX]

[DOI]

CoRR, 2004

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002

Selection by parts: 'selection in two episodes' in evolutionary algorithms.

[BibT_eX]

[DOI]