Ambedkar Dukkipati
Orcid: 0000-0002-6352-6283
According to our database1,
Ambedkar Dukkipati
authored at least 113 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Interaction Event Forecasting in Multi-Relational Recursive HyperGraphs: A Temporal Point Process Approach.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Learning to Switch off, Switch on, and Integrate Modalities in Large Pre-trained Transformers.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
2023
Neural Temporal Point Process for Forecasting Higher Order and Directional Interactions.
CoRR, 2023
Proceedings of the Winter Simulation Conference, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain.
Proceedings of the Asian Conference on Machine Learning, 2023
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
On consistency of constrained spectral clustering under representation-aware stochastic block model.
CoRR, 2022
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions.
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.
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.
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.
IEEE Trans. Medical Imaging, 2021
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime.
CoRR, 2021
CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India.
CoRR, 2021
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees.
CoRR, 2021
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation.
CoRR, 2021
Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates.
J. Complex Networks, 2021
Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
CoRR, 2019
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes.
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Skip Residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
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.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019
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.
J. Symb. Comput., 2018
Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
2017
J. Mach. Learn. Res., 2017
Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation.
CoRR, 2017
CoRR, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
CoRR, 2016
Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes.
CoRR, 2016
CoRR, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
A faster algorithm for testing polynomial representability of functions over finite integer rings.
Theor. Comput. Sci., 2015
ACM Commun. Comput. Algebra, 2015
An Algorithmic Characterization of Polynomial Functions over Z<sub>p<sup>n</sup></sub>.
Algorithmica, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Smoothed Functional Algorithms for Stochastic Optimization Using <i>q</i>-Gaussian Distributions.
ACM Trans. Model. Comput. Simul., 2014
J. Symb. Comput., 2014
Macaulay-Buchberger Basis Theorem for Residue Class Rings with Torsion and Border Bases over Rings.
CoRR, 2014
Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms.
Autom., 2014
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
CoRR, 2013
CoRR, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Theor. Comput. Sci., 2012
Smoothed Functional Algorithms for Stochastic Optimization using q-Gaussian Distributions.
CoRR, 2012
CoRR, 2012
CoRR, 2012
CoRR, 2012
Appl. Math. Comput., 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
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
CoRR, 2011
Proceedings of the Symbolic and Algebraic Computation, International Symposium, 2011
2010
Proceedings of the International Symposium on Information Theory and its Applications, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the Computer Algebra in Scientific Computing - 12th International Workshop, 2010
2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
2007
Inf. Sci., 2007
2006
On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions
CoRR, 2006
2005
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
Information theoretic justification of Boltzmann selection and its generalization to Tsallis case.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002