Ambedkar Dukkipati

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 69

Top Venues

Publications

Tony Gracious, Ambedkar Dukkipati
Interaction Event Forecasting in Multi-Relational Recursive HyperGraphs: A Temporal Point Process Approach. CoRR (2024)
Ranga Shaarad Ayyagari, Anurita Ghosh, Ambedkar Dukkipati
Temporal Abstraction in Reinforcement Learning with Offline Data. CoRR (2024)
Rahul Venkataramani, Parag Dutta, Vikram Melapudi, Ambedkar Dukkipati
Causal Feature Alignment: Learning to Ignore Spurious Background Features. WACV (2024)
Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. ACML (2023)
Ranga Shaarad Ayyagari, Ambedkar Dukkipati
Markov Decision Process with an External Temporal Process. CoRR (2023)
Ranga Shaarad Ayyagari, Ambedkar Dukkipati
Risk-Averse Combinatorial Semi-Bandits. ISIT (2023)
Tony Gracious, Ambedkar Dukkipati
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting. AAAI (2023)
Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. CoRR (2023)
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
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC (2023)
Tony Gracious, Arman Gupta, Ambedkar Dukkipati
Neural Temporal Point Process for Forecasting Higher Order and Directional Interactions. CoRR (2023)
Shubham Gupta, Ambedkar Dukkipati
On consistency of constrained spectral clustering under representation-aware stochastic block model. CoRR (2022)
Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm. IROS (2022)
Shubham Gupta, Ambedkar Dukkipati
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions. NeurIPS (2022)
Sourabh Balgi, Ambedkar Dukkipati
Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Anoop Kumar, Vibha Balaji, M. A. Chandrashekar, Ambedkar Dukkipati, Sathish Vadhiyar
Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. IPDPS Workshops (2022)
Shubham Gupta, Ambedkar Dukkipati
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees. CoRR (2021)
Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati
Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. CoRR (2021)
Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. AAAI (2021)
Shubham Gupta, Gururaj K, Ambedkar Dukkipati, Rui M. Castro
Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. J. Complex Networks 10 (2) (2021)
Ambedkar Dukkipati, Tony Gracious, Shubham Gupta
CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India. CoRR (2021)
Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. CoRR (2021)
Tony Gracious, Ambedkar Dukkipati
Representation Learning for Dynamic Hyperedges. CoRR (2021)
Nilesh A. Kande, Rupali Dakhane, Ambedkar Dukkipati, Phaneendra K. Yalavarthy
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 40 (1) (2021)
Ranga Shaarad Ayyagari, Ambedkar Dukkipati
Risk-Aware Algorithms for Combinatorial Semi-Bandits. CoRR (2021)
Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati
Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. NAACL-HLT (2021)
K. M. Annervaz, Pritam Kumar Nath, Ambedkar Dukkipati
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime. CoRR (2021)
Aayushee Gupta, K. M. Annervaz, Ambedkar Dukkipati, Shubhashis Sengupta
An Inference Approach To Question Answering Over Knowledge Graphs. CoRR (2021)
Shubham Gupta, Ambedkar Dukkipati
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks. AAMAS (2020)
Shaarad A. R, Ambedkar Dukkipati
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints. CoRR (2020)
Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati
Networked Multi-Agent Reinforcement Learning with Emergent Communication. CoRR (2020)
Tony Gracious, Ambedkar Dukkipati
Adversarial Context Aware Network Embeddings for Textual Networks. CoRR (2020)
Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati
Networked Multi-Agent Reinforcement Learning with Emergent Communication. AAMAS (2020)
Sourabh Balgi, Ambedkar Dukkipati
Contradistinguisher: Applying Vapnik's Philosophy to Unsupervised Domain Adaptation. CoRR (2020)
Akshay Mehrotra, Ambedkar Dukkipati
Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning. WACV (2019)
Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
A Generative Model for Dynamic Networks with Applications. AAAI (2019)
Sourabh Balgi, Ambedkar Dukkipati
CUDA: Contradistinguisher for Unsupervised Domain Adaptation. ICDM (2019)
Gaurav Pandey, Ambedkar Dukkipati
Learning to Segment With Image-Level Supervision. WACV (2019)
Somnath Basu Roy Chowdhury, K. M. Annervaz, Ambedkar Dukkipati
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing. DeepLo@EMNLP-IJCNLP (2019)
Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. CoRR (2019)
Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati
A Statistical Model for Dynamic Networks with Neural Variational Inference. CoRR (2019)
Shubham Gupta, Ambedkar Dukkipati
On Voting Strategies and Emergent Communication. CoRR (2019)
Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati
Active Learning with Siamese Twins for Sequence Tagging. CoRR (2019)
Sourabh Balgi, Ambedkar Dukkipati
CUDA: Contradistinguisher for Unsupervised Domain Adaptation. CoRR (2019)
Maria Francis, Ambedkar Dukkipati
On Gröbner bases and Krull dimension of residue class rings of polynomial rings over integral domains. J. Symb. Comput. 86 (2018)
K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing. NAACL-HLT (2018)
K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing. CoRR (2018)
Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
Evolving Latent Space Model for Dynamic Networks. CoRR (2018)
Muni Sreenivas Pydi, Ambedkar Dukkipati
On Consistency of Compressive Spectral Clustering. ISIT (2018)
Somnath Basu Roy Chowdhury, K. M. Annervaz, Ambedkar Dukkipati
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing. CoRR (2018)
Muni Sreenivas Pydi, Ambedkar Dukkipati
On Consistency of Compressive Spectral Clustering. CoRR (2017)
Mahesh Gorijala, Ambedkar Dukkipati
Image Generation and Editing with Variational Info Generative AdversarialNetworks. CoRR (2017)
Gaurav Pandey, Ambedkar Dukkipati
Discriminative Neural Topic Models. CoRR (2017)
Gaurav Pandey, Ambedkar Dukkipati
Unsupervised feature learning with discriminative encoder. CoRR (2017)
Gaurav Pandey, Ambedkar Dukkipati
Unsupervised Feature Learning with Discriminative Encoder. ICDM (2017)
Akshay Mehrotra, Ambedkar Dukkipati
Generative Adversarial Residual Pairwise Networks for One Shot Learning. CoRR (2017)
Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria, Ambedkar Dukkipati
Analytic Connectivity in General Hypergraphs. CoRR (2017)
Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati
Attentive Recurrent Comparators. CoRR (2017)
Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati
Attentive Recurrent Comparators. ICML (2017)
Gaurav Pandey, Ambedkar Dukkipati
Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation. CoRR (2017)
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques. J. Mach. Learn. Res. 18 (2017)
Gaurav Pandey, Ambedkar Dukkipati
Variational methods for conditional multimodal deep learning. IJCNN (2017)
Debarghya Ghoshdastidar, Ajay P. Adsul, Ambedkar Dukkipati
Learning With Jensen-Tsallis Kernels. IEEE Trans. Neural Networks Learn. Syst. 27 (10) (2016)
Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati, Ankush Chatterjee, Sanjay Podder
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference. CoRR (2016)
Siddharth Agrawal, Ambedkar Dukkipati
Deep Variational Inference Without Pixel-Wise Reconstruction. CoRR (2016)
Maria Francis, Ambedkar Dukkipati
A Gröbner Basis Algorithm for Computing the Krull Dimension of $A$-Algebras. CoRR (2016)
Gaurav Pandey, Ambedkar Dukkipati
Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes. CoRR (2016)
Gaurav Pandey, Ambedkar Dukkipati
On collapsed representation of hierarchical Completely Random Measures. ICML (2016)
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques. CoRR (2016)
Ambedkar Dukkipati, Debarghya Ghoshdastidar, Jinu Krishnan
Mixture modeling with compact support distributions for unsupervised learning. IJCNN (2016)
Debarghya Ghoshdastidar, Ambedkar Dukkipati
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning. ICML (2015)
Ashwin Guha, Ambedkar Dukkipati
A faster algorithm for testing polynomial representability of functions over finite integer rings. Theor. Comput. Sci. 579 (2015)
Ambedkar Dukkipati, Nithish Pai, Maria Francis, Abhishek Dubey
On Gröbner bases over rings and residue class polynomial rings with torsion. ACM Commun. Comput. Algebra 49 (2) (2015)
Ashwin Guha, Ambedkar Dukkipati
. Algorithmica 71 (1) (2015)
Gaurav Pandey, Ambedkar Dukkipati
Hierarchical Completely Random Measures for Mixed Membership Modelling. CoRR (2015)
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications. AAAI (2015)
Ambedkar Dukkipati, Nithish Pai, Maria Francis, Abhishek Dubey
Macaulay-Buchberger Basis Theorem for Residue Class Rings with Torsion and Border Bases over Rings. CoRR (2014)
Maria Francis, Ambedkar Dukkipati
Generalized Hash Functions based on Multivariate Ideal Lattices. CoRR (2014)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
-Gaussian Distributions. ACM Trans. Model. Comput. Simul. 24 (3) (2014)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms. Autom. 50 (10) (2014)
Gaurav Pandey, Ambedkar Dukkipati
Learning by Stretching Deep Networks. ICML (2014)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Ajay P. Adsul, Aparna S. Vijayan
Spectral Clustering with Jensen-type kernels and their multi-point extensions. CoRR (2014)
Debarghya Ghoshdastidar, Ambedkar Dukkipati
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model. NIPS (2014)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Ajay P. Adsul, Aparna S. Vijayan
Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions. CVPR (2014)
Gaurav Pandey, Ambedkar Dukkipati
To go deep or wide in learning? AISTATS (2014)
Gaurav Pandey, Ambedkar Dukkipati
To go deep or wide in learning? CoRR (2014)
Maria Francis, Ambedkar Dukkipati
Reduced Gröbner bases and Macaulay-Buchberger Basis Theorem over Noetherian rings. J. Symb. Comput. 65 (2014)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
Newton based Stochastic Optimization using q-Gaussian Smoothed Functional Algorithms. CoRR (2013)
Ambedkar Dukkipati, Gaurav Pandey, Debarghya Ghoshdastidar, Paramita Koley, D. M. V. Satya Sriram
Generative Maximum Entropy Learning for Multiclass Classification. ICDM (2013)
Gaurav Pandey, Ambedkar Dukkipati
Minimum description length principle for maximum entropy model selection. ISIT (2013)
Maria Francis, Ambedkar Dukkipati
On Reduced Gröbner Basis and Macaulay-Buchberger Basis Theorem over Noetherian Rings CoRR (2013)
Abhishek Dubey, Ambedkar Dukkipati
Comprehensive Border Bases for Zero Dimensional Parametric Polynomial Ideals. CoRR (2013)
Debarghya Ghoshdastidar, Ambedkar Dukkipati
On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications. AAAI (2013)
Prabhanjan Vijendra Ananth, Ambedkar Dukkipati
An Algebraic Characterization of Rainbow Connectivity. CASC (2012)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions. CoRR (2012)
Jithin Vachery, Ambedkar Dukkipati
On Shore and Johnson properties for a Special Case of Csiszár f-divergences CoRR (2012)
Gaurav Pandey, Ambedkar Dukkipati
Minimum Description Length Principle for Maximum Entropy Model Selection CoRR (2012)
D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification CoRR (2012)
A. Dinesh Kumar, Ambedkar Dukkipati
A two stage selective averaging LDPC decoding. ISIT (2012)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
q-Gaussian based Smoothed Functional algorithms for stochastic optimization. ISIT (2012)
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Shalabh Bhatnagar
q-Gaussian based Smoothed Functional Algorithm for Stochastic Optimization CoRR (2012)

Ambedkar Dukkipati.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ambedkar Dukkipati