
Binary Subspace Chirps
We describe in details the interplay between binary symplectic geometry ...
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GRADEAO: Towards NearOptimal SpatiallyCoupled Codes With High Memories
Spatiallycoupled (SC) codes, known for their threshold saturation pheno...
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Unequal Error Protection Achieves Threshold Gains on BEC and BSC via Higher Fidelity Messages
Because of their capacityapproaching performance, graphbased codes hav...
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Mitigating Coherent Noise by Balancing Weight2 ZStabilizers
Stochastic errors on quantum systems occur randomly but coherent errors ...
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The Secret Arithmetic of Patterns: A General Method for Designing Constrained Codes Based on Lexicographic Indexing
Constrained codes are used to prevent errors from occurring in various d...
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Power Spectra of Constrained Codes with LevelBased Signaling: Overcoming FiniteLength Challenges
Constrained codes are used to eliminate errorprone patterns in various ...
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Hierarchical Coding for Cloud Storage: TopologyAdaptivity, Scalability, and Flexibility
In order to accommodate the evergrowing data from various, possibly ind...
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UnWeyling the Clifford Hierarchy
The teleportation model of quantum computation introduced by Gottesman a...
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NonBinary Constrained Codes for TwoDimensional Magnetic Recording
The twodimensional magnetic recording (TDMR) technology promises storag...
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Reconstruction of Multiuser Binary Subspace Chirps
We consider codebooks of Complex Grassmannian Lines consisting of Binary...
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Coordinating Complementary Waveforms for Suppressing Range Sidelobes in a Doppler Band
We present a general method for constructing radar transmit pulse trains...
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Classical Coding Problem from Transversal T Gates
Universal quantum computation requires the implementation of a logical n...
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TopologyAware Cooperative Data Protection in BlockchainBased Decentralized Storage Networks
From currency to cloud storage systems, the continuous rise of the block...
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Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/PLC Flash Memories
Flash memory devices are winning the competition for storage density aga...
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On Optimality of CSS Codes for Transversal T
In order to perform universal faulttolerant quantum computation, one ne...
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ScaleEquivariant Neural Networks with Decomposed Convolutional Filters
Encoding the input scale information explicitly into the representation ...
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Asymmetric LOCO Codes: Constrained Codes for Flash Memories
In data storage and data transmission, certain patterns are more likely ...
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Logical Clifford Synthesis for Stabilizer Codes
Quantum errorcorrecting codes are used to protect qubits involved in qu...
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Hierarchical Coding to Enable Scalability and Flexibility in Heterogeneous Cloud Storage
In order to accommodate the evergrowing data from various, possibly ind...
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Kerdock Codes Determine Unitary 2Designs
The nonlinear binary Kerdock codes are known to be Gray images of certa...
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Minimizing the Number of Detrimental Objects in MultiDimensional GraphBased Codes
In order to meet the demands of datahungry applications, data storage d...
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LOCO Codes: LexicographicallyOrdered Constrained Codes
Line codes make it possible to mitigate interference, to prevent short p...
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Geometric Matrix Completion with Deep Conditional Random Fields
The problem of completing highdimensional matrices from a limited set o...
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Orthogonal Time Frequency Space Modulation
This paper introduces a new twodimensional modulation technique called ...
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Regularizing AutoencoderBased Matrix Completion Models via Manifold Learning
Autoencoders are popular among neuralnetworkbased matrix completion mo...
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RotDCF: Decomposition of Convolutional Filters for RotationEquivariant Deep Networks
Explicit encoding of group actions in deep features makes it possible fo...
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Synthesis of Logical Clifford Operators via Symplectic Geometry
Quantum errorcorrecting codes can be used to protect qubits involved in...
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Multiscale Spectrum Sensing in 5G Cognitive Networks
A multiscale approach to spectrum sensing is proposed to overcome the h...
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DCFNet: Deep Neural Network with Decomposed Convolutional Filters
Filters in a Convolutional Neural Network (CNN) contain model parameters...
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A Characterization of Guesswork on Swiftly Tilting Curves
Given a collection of strings, each with an associated probability of oc...
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Compressed Neighbour Discovery using Sparse Kerdock Matrices
We study the networkwide neighbour discovery problem in wireless networ...
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LDMNet: Low Dimensional Manifold Regularized Neural Networks
Deep neural networks have proved very successful on archetypal tasks for...
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Bounds on the Number of Measurements for Reliable Compressive Classification
This paper studies the classification of highdimensional Gaussian signa...
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RateDistortion Bounds on Bayes Risk in Supervised Learning
We present an informationtheoretic framework for bounding the number of...
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GraphConnect: A Regularization Framework for Neural Networks
Deep neural networks have proved very successful in domains where large ...
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Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification
This paper considers the classification of linear subspaces with mismatc...
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Data Representation using the Weyl Transform
The Weyl transform is introduced as a rich framework for data representa...
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Classification and Reconstruction of HighDimensional Signals from LowDimensional Features in the Presence of Side Information
This paper offers a characterization of fundamental limits on the classi...
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Painting Analysis Using Wavelets and Probabilistic Topic Models
In this paper, computerbased techniques for stylistic analysis of paint...
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Communications Inspired Linear Discriminant Analysis
We study the problem of supervised linear dimensionality reduction, taki...
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Robert Calderbank
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Charles S. Sydnor Professor of Computer Science, Director of the Information Initiative at Duke University