
Deep JSense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Accelerated multicoil magnetic resonance imaging reconstruction has see...
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Network Design for Social Welfare
In this paper, we consider the problem of network design on network game...
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EQNet: A Unified Deep Learning Framework for LogLikelihood Ratio Estimation and Quantization
In this work, we introduce EQNet: the first holistic framework that sol...
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Hyperbolic Graph Embedding with Enhanced SemiImplicit Variational Inference
Efficient modeling of relational data arising in physical, social, and i...
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Long ShortTerm Memory Spiking Networks and Their Applications
Recent advances in eventbased neuromorphic systems have resulted in sig...
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Interpretable Factorization for Neural Network ECG Models
The ability of deep learning (DL) to improve the practice of medicine an...
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Robust Face Verification via Disentangled Representations
We introduce a robust algorithm for face verification, i.e., deciding wh...
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Deep Networks as Logical Circuits: Generalization and Interpretation
Not only are Deep Neural Networks (DNNs) black box models, but also we f...
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Detecting Patch Adversarial Attacks with Image Residuals
We introduce an adversarial sample detection algorithm based on image re...
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Stability and Scalability of Blockchain Systems
The blockchain paradigm provides a mechanism for content dissemination a...
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Achieving MultiPort Memory Performance on SinglePort Memory with Coding Techniques
Many performance critical systems today must rely on performance enhance...
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Sequential decomposition of graphon mean field games
In this paper, we present a sequential decomposition algorithm to comput...
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Learning Representations by Maximizing Mutual Information in Variational Autoencoder
Variational autoencoders (VAE) have ushered in a new era of unsupervised...
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Deep LearningBased Quantization of LValues for GrayCoded Modulation
In this work, a deep learningbased quantization scheme for loglikeliho...
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Deep LogLikelihood Ratio Quantization
In this work, a deep learningbased method for loglikelihood ratio (LLR...
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HashCore: ProofofWork Functions for General Purpose Processors
Over the past five years, the reward associated with mining ProofofWor...
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Generalization Bounds for Neural Networks: Kernels, Symmetry, and Sample Compression
Though Deep Neural Networks (DNNs) are widely celebrated for their pract...
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Experimental Design for CostAware Learning of Causal Graphs
We consider the minimum cost intervention design problem: Given the esse...
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Entropic Latent Variable Discovery
We consider the problem of discovering the simplest latent variable that...
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Compressed Sensing with Deep Image Prior and Learned Regularization
We propose a novel method for compressed sensing recovery using untraine...
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On the Key Generation Rate of Physically Unclonable Functions
In this paper, an algebraic binning based coding scheme and its associat...
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CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
We propose an adversarial training procedure for learning a causal impli...
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CostOptimal Learning of Causal Graphs
We consider the problem of learning a causal graph over a set of variabl...
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Entropic Causality and Greedy Minimum Entropy Coupling
We study the problem of identifying the causal relationship between two ...
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Entropic Causal Inference
We consider the problem of identifying the causal direction between two ...
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Learning Causal Graphs with Small Interventions
We consider the problem of learning causal networks with interventions, ...
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Sparse Online LowRank Projection and Outlier Rejection (SOLO) for 3D RigidBody Motion Registration
Motivated by an emerging theory of robust lowrank matrix representation...
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Sriram Vishwanath
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