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Conference Proceedings

Pydi, Muni Sreenivas and Dukkipati, Ambedkar (2018) On Consistency of Compressive Spectral Clustering. In: IEEE International Symposium on Information Theory (ISIT), JUN 17-22, 2018, Vail, CO, pp. 2102-2106.

Pandey, Gaurav and Dukkipati, Ambedkar (2017) Unsupervised feature learning with discriminative encoder. In: 17th IEEE International Conference on Data Mining (ICDMW), NOV 18-21, 2017, New Orleans, LA, pp. 367-376.

Pandey, Gaurav and Dukkipati, Ambedkar (2017) Variational methods for Conditional Multimodal Deep Learning. In: International Joint Conference on Neural Networks (IJCNN), MAY 14-19, 2017, Anchorage, AK, pp. 308-315.

Ghoshdastidar, Debarghya and Dukkipati, Ambedkar and Adsul, Ajay P and Vijayan, Aparna S (2014) Spectral Clustering with Jensen-type kernels and their multi-point extensions. In: 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), JUN 23-28, 2014, Columbus, OH, pp. 1472-1477.

Ananth, Prabhanjan Vijendra and Dukkipati, Ambedkar (2011) Border basis detection is NP-complete. In: ISSAC '11 Proceedings of the 36th international symposium on Symbolic and algebraic computation, 2011, New York, NY, USA.

Conference Paper

Ananth, Prabhanjan and Dukkipati, Ambedkar (2012) Algebraic characterization of rainbow connectivity. In: Proceedings of the CASC 2012 14th International Workshop, September 3-6, 2012, Maribor, Slovenia.

Kumar, Dinesh A and Dukkipati, Ambedkar (2012) A Two Stage Selective Averaging LDPC Decoding. In: IEEE International Symposium on Information Theory, JUL 01-06, 2012 , Cambridge, MA.

Ghoshdastidar, Debarghya and Dukkipati, Ambedkar and Bhatnagar, Shalabh (2012) q-Gaussian based Smoothed Functional Algorithms for Stochastic Optimization. In: IEEE International Symposium on Information Theory, JUL 01-06, 2012 , Cambridge, MA .

Dukkipati, Ambedkar and Manathara, Joel George (2010) An Algebraic Implicitization and Specialization of Minimum KL-Divergence Models. In: 12th CASC International Workshop, SEP 06-12, 2010, Tsakhkadzor, ARMENIA, pp. 85-96.

Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2005) Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. In: IEEE Congress on Evolutionary Computation, 2-5 Sept, 2005, Monterey, CA, United States, pp. 1667-1674.

Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2004) Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms. In: 2004 Congress on Evolutionary Computation. CEC2004, 19-23 June, Portland,Origon, Vol.1, 55-62.

Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2003) Quotient Evolutionary Space: Abstraction of Evolutionary process w.r.t macroscopic properties. In: The 2003 Congress on Evolutionary Computation – CEC 2003, 8-12 December 2003, Canberra, Australia, pp. 846-853.

Dukkipati, Ambedkar and Murty, Narasimha M (2002) Selection by Parts: 'Selection in Two Episodes' in Evolutionary Algorithms. In: 2002 Congress on Evolutionary Computation. CEC '02, 12-17 May, Honolulu,Hawaii, Vol.1, 657 -662.

Journal Article

Gupta, Shubham and K, Gururaj and Dukkipati, Ambedkar and Castro, Rui M (2022) Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. In: Journal of Complex Networks, 10 (2). ISSN 2051-1310

Francis, Maria and Dukkipati, Ambedkar (2018) On ideal lattices, Grobner bases and generalized hash functions. In: JOURNAL OF ALGEBRA AND ITS APPLICATIONS, 17 (6).

Francis, Maria and Dukkipati, Ambedkar (2018) On Grobner bases and Krull dimension of residue class rings of polynomial rings over integral domains. In: JOURNAL OF SYMBOLIC COMPUTATION, 86 . pp. 1-19.

Ghosdastidar, Debarghya and Dukkipati, Ambedkar (2017) Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques. In: JOURNAL OF MACHINE LEARNING RESEARCH, 18 . pp. 1-41.

Ghoshdastidar, Debarghya and Dukkipati, Ambedkar (2017) CONSISTENCY OF SPECTRAL HYPERGRAPH PARTITIONING UNDER PLANTED PARTITION MODEL. In: ANNALS OF STATISTICS, 45 (1). pp. 289-315.

Dukkipati, Ambedkar and Palimar, Sushma (2017) Primes of the form x(2) + dy(2) with x 0(mod N) or y O (mod N). In: PROCEEDINGS OF THE INDIAN ACADEMY OF SCIENCES-MATHEMATICAL SCIENCES, 127 (1). pp. 35-43.

Ghoshdastidar, Debarghya and Adsul, Ajay P and Dukkipati, Ambedkar (2016) Learning With Jensen-Tsallis Kernels. In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 27 (10). pp. 2108-2119.

Guha, Ashwin and Dukkipati, Ambedkar (2015) An Algorithmic Characterization of Polynomial Functions over Z(pn). In: ALGORITHMICA, 71 (1). pp. 201-218.

Ghoshdastidar, Debarghya and Dukkipati, Ambedkar and Bhatnagar, Shalabh (2014) Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms. In: AUTOMATICA, 50 (10). pp. 2606-2614.

Francis, Maria and Dukkipati, Ambedkar (2014) Reduced Grobner bases and Macaulay-Buchberger Basis Theorem over Noetherian rings. In: JOURNAL OF SYMBOLIC COMPUTATION, 65 . pp. 1-14.

Ghoshdastidar, Debarghya and Dukkipati, Ambedkar and Bhatnagar, Shalabh (2014) Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions. In: ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, 24 (3).

Dukkipati, Ambedkar and Pandey, Gaurav and Ghoshdastidar, Debarghya and Koley, Paramita and Sriram, Satya DMV (2013) Generative Maximum Entropy Learning for Multiclass Classification. In: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA . pp. 141-150.

Dukkipati, Ambedkar (2012) On maximum entropy and minimum KL-divergence optimization by Grobner basis methods. In: APPLIED MATHEMATICS AND COMPUTATION, 218 (23). pp. 11674-11687.

Dukkipati, Ambedkar and Bhatnagar, Shalabh and Murty, Narasimha M (2007) On measure-theoretic aspects of nonextensive entropy functionals and corresponding maximum entropy prescriptions. In: Physica A: Statistical Mechanics and its Applications, 384 (2). pp. 758-774.

Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2006) Nonextensive triangle equality and other properties of Tsallis relative-entropy minimization. In: Physica A-Statistical Mechanics And Its Applications, 361 (1). pp. 124-138.