Search Results - "Hegde, Chinmay"

Stenting for distal malignant biliary obstruction by Hegde, Chinmay V., Reddy, D. Nageshwar, Ramchandani, Mohan

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Sparse signal recovery from modulo observations by Shah, Viraj, Hegde, Chinmay

“…We consider the problem of reconstructing a signal from under-determined modulo observations (or measurements). This observation model is inspired by a…”
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Identification of multiple novel genetic mechanisms that regulate chilling tolerance in Arabidopsis by Sahoo, Dipak Kumar, Hegde, Chinmay, Bhattacharyya, Madan K

“…Cold stress adversely affects the growth and development of plants and limits the geographical distribution of many plant species. Accumulation of spontaneous…”
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On Consensus-Optimality Trade-offs in Collaborative Deep Learning by Jiang, Zhanhong, Balu, Aditya, Hegde, Chinmay, Sarkar, Soumik

“…In distributed machine learning, where agents collaboratively learn from diverse private data sets, there is a fundamental tension between consensus and…”
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Adversarially Robust Learning via Entropic Regularization by Jagatap, Gauri, Joshi, Ameya, Chowdhury, Animesh Basak, Garg, Siddharth, Hegde, Chinmay

“…In this paper we propose a new family of algorithms, ATENT, for training adversarially robust deep neural networks. We formulate a new loss function that is…”
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Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements by Jagatap, Gauri, Hegde, Chinmay

“…We consider the problem of recovering a signal <inline-formula> <tex-math notation="LaTeX"> \mathbf {x^{*}}\in \mathbb {R}^{n} </tex-math></inline-formula>,…”
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Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees by Shah, Viraj, Hegde, Chinmay

“…In recent works, both sparsity-based methods as well as learning-based methods have proven to be successful in solving several challenging linear inverse…”
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Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach by Chakraborty, Pranamesh, Sharma, Anuj, Hegde, Chinmay

“…Early detection of incidents is a key step to reduce incident related congestion. State Department of Transportation (DoTs) usually install a large number of…”
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Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations by Soltani, Mohammadreza, Hegde, Chinmay

“…We study the problem of demixing a pair of sparse signals from noisy, nonlinear observations of their superposition. Mathematically, we consider a nonlinear…”
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Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks by Soltani, Mohammadreza, Hegde, Chinmay

“…In this paper, we bridge the problem of (provably) learning shallow neural networks with the well-studied problem of low-rank matrix estimation. In particular,…”
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Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers by Joshi, Ameya, Mukherjee, Amitangshu, Sarkar, Soumik, Hegde, Chinmay

“…Deep neural networks have been shown to exhibit an intriguing vulnerability to adversarial input images corrupted with imperceptible perturbations. However,…”
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Inverter Threshold Comparator Based Optimized 3-Bit Flash ADC by Hegde, Chinmay D, Naik, Darshan Datta, S, Chethan, M, Darshan S, P, Srividya

“…In modern electronics, an Analog-to-Digital Converter (ADC) plays a pivotal role by converting continuous analog signals into discrete digital representations,…”
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Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity by Cho, Minsu, Hegde, Chinmay

“…We propose a new algorithm for hyperparameter selection in machine learning algorithms. The algorithm is a novel modification of Harmonica, a spectral…”
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High Dynamic Range Imaging Using Deep Image Priors by Jagatap, Gauri, Hegde, Chinmay

“…Traditionally, dynamic range enhancement for images has involved a combination of contrast improvement (via gamma correction or histogram equalization) and a…”
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Approximation Algorithms for Model-Based Compressive Sensing by Hegde, Chinmay, Indyk, Piotr, Schmidt, Ludwig

“…Compressive sensing (CS) states that a sparse signal can be recovered from a small number of linear measurements, and that this recovery can be performed…”
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Anaplastic large cell lymphoma of adrenal gland-An endoscopic ultrasound enigma by Hegde, Chinmay Vishwanath, Katrevula, Anudeep, Wanve, Balasaheb, Duvvur, Nageshwar Reddy

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Provable Compressed Sensing With Generative Priors via Langevin Dynamics by Nguyen, Thanh V., Jagatap, Gauri, Hegde, Chinmay

“…Deep generative models have emerged as a powerful class of priors for signals in various inverse problems such as compressed sensing, phase retrieval and…”
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Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval by Hyder, Rakib, Shah, Viraj, Hegde, Chinmay, Asif, M. Salman

“…The classical problem of phase retrieval arises in various signal acquisition systems. Due to the ill-posed nature of the problem, the solution requires…”
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Model-Based Compressive Sensing by Baraniuk, R.G., Cevher, V., Duarte, M.F., Hegde, C.

“…Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for the acquisition of sparse or compressible signals that can be well approximated by…”
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Texas Hold 'Em algorithms for distributed compressive sensing by Schnelle, Stephen R, Laska, Jason N, Hegde, Chinmay, Duarte, Marco F, Davenport, Mark A, Baraniuk, Richard G

“…This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and…”
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