Search Results - "Dukkipati, Ambedkar"

CONSISTENCY OF SPECTRAL HYPERGRAPH PARTITIONING UNDER PLANTED PARTITION MODEL by Ghoshdastidar, Debarghya, Dukkipati, Ambedkar

“…Hypergraph partitioning lies at the heart of a number of problems in machine learning and network sciences. Many algorithms for hypergraph partitioning have…”
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Learning With Jensen-Tsallis Kernels by Ghoshdastidar, Debarghya, Adsul, Ajay P., Dukkipati, Ambedkar

“…Jensen-type [Jensen-Shannon (JS) and Jensen-Tsallis] kernels were first proposed by Martins et al. (2009). These kernels are based on JS divergences that…”
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Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation by Balgi, Sourabh, Dukkipati, Ambedkar

“…Recent domain adaptation works rely on an indirect way of first aligning the source and target domain distributions and then train a classifier on the labeled…”
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Variational methods for conditional multimodal deep learning by Pandey, Gaurav, Dukkipati, Ambedkar

“…In this paper, we address the problem of conditional modality learning, whereby one is interested in generating one modality given the other. While it is…”
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SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images by Kande, Nilesh A., Dakhane, Rupali, Dukkipati, Ambedkar, Yalavarthy, Phaneendra Kumar

“…Optical coherence tomography (OCT) is a standard diagnostic imaging method for assessment of ophthalmic diseases. The speckle noise present in the high-speed…”
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On maximum entropy and minimum KL-divergence optimization by Gröbner basis methods by Dukkipati, Ambedkar

“…In this paper we study constrained maximum entropy and minimum divergence optimization problems, in the cases where integer valued sufficient statistics…”
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A faster algorithm for testing polynomial representability of functions over finite integer rings by Guha, Ashwin, Dukkipati, Ambedkar

“…Given a function from Zn to itself one can determine its polynomial representability by using Kempner function. In this paper we present an alternative…”
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An Algorithmic Characterization of Polynomial Functions over by Guha, Ashwin, Dukkipati, Ambedkar

“…In this paper we consider polynomial representability of functions defined over , where p is a prime and n is a positive integer. Our aim is to provide an…”
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Causal Feature Alignment: Learning to Ignore Spurious Background Features by Venkataramani, Rahul, Dutta, Parag, Melapudi, Vikram, Dukkipati, Ambedkar

“…Deep neural networks are susceptible to spurious features strongly correlating with the target. This phenomenon leads to sub-optimal performance during…”
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Primes of the form x 2 + d y 2 with x ≡ 0(mod N) or y ≡ 0(mod N) by DUKKIPATI, AMBEDKAR, PALIMAR, SUSHMA

“…In this paper, we characterize primes of the form x2 + dy2 with x≡0(mod N) or y≡0(mod N) for positive integers N and d with d being square free…”
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Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm by Dukkipati, Ambedkar, Banerjee, Rajarshi, Ayyagari, Ranga Shaarad, Udaybhai, Dhaval Parmar

“…Solving complex problems using reinforcement learning necessitates breaking down the problem into manageable tasks, and learning policies to solve these tasks…”
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Primes of the form x2+dy2 with x≡0(mod N) or y≡0(mod N) by DUKKIPATI, AMBEDKAR, PALIMAR, SUSHMA

“…In this paper, we characterize primes of the form x 2 + d y 2 with x ≡0(mod N ) or y ≡0(mod N ) for positive integers N and d with d being square free…”
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Reduced Gröbner bases and Macaulay–Buchberger Basis Theorem over Noetherian rings by Francis, Maria, Dukkipati, Ambedkar

“…In this paper, we extend the characterization of Z[x]/〈f〉, where f∈Z[x] to be a free Z-module to multivariate polynomial rings over any commutative Noetherian…”
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Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms by Ghoshdastidar, Debarghya, Dukkipati, Ambedkar, Bhatnagar, Shalabh

“…We present the first q-Gaussian smoothed functional (SF) estimator of the Hessian and the first Newton-based stochastic optimization algorithm that estimates…”
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Complexity of Gröbner basis detection and border basis detection by Ananth, Prabhanjan V., Dukkipati, Ambedkar

“…Gröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide whether there exists–and if “yes” find–a term order such that the set…”
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Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates by Gupta, Shubham, K, Gururaj, Dukkipati, Ambedkar, Castro, Rui M

“…Abstract Networks with node covariates offer two advantages to community detection methods, namely, (i) exploit covariates to improve the quality of…”
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Interaction Event Forecasting in Multi-Relational Recursive HyperGraphs: A Temporal Point Process Approach by Gracious, Tony, Dukkipati, Ambedkar

“…Modeling the dynamics of interacting entities using an evolving graph is an essential problem in fields such as financial networks and e-commerce. Traditional…”
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On consistency of constrained spectral clustering under representation-aware stochastic block model by Gupta, Shubham, Dukkipati, Ambedkar

“…Spectral clustering is widely used in practice due to its flexibility, computational efficiency, and well-understood theoretical performance guarantees…”
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Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting by Gracious, Tony, Dukkipati, Ambedkar

“…The explosion of digital information and the growing involvement of people in social networks led to enormous research activity to develop methods that can…”
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Risk-Averse Combinatorial Semi-Bandits by Ayyagari, Ranga Shaarad, Dukkipati, Ambedkar

“…In many practical sequential decision-making scenarios, we often face the problem of choosing a set of options rather than just one option. While sequential…”
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