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04/10/2023
iDML: Incentivized Decentralized Machine Learning
With the rising emergence of decentralized and opportunistic approaches ...
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10/23/2022
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics
There are a multitude of Blockchain-based physical infrastructure system...
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07/12/2022
Achieving Almost All Blockchain Functionalities with Polylogarithmic Storage
In current blockchain systems, full nodes that perform all of the availa...
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06/21/2022
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning
Contrastive self-supervised learning methods learn to map data points su...
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12/21/2021
BlockReduce – Scaling Proof-of-Work Blockchains
This paper introduces BlockReduce, a Proof-of-Work (PoW) based blockchai...
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03/02/2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Accelerated multi-coil magnetic resonance imaging reconstruction has see...
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12/24/2020
Network Design for Social Welfare
In this paper, we consider the problem of network design on network game...
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12/23/2020
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
In this work, we introduce EQ-Net: the first holistic framework that sol...
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10/31/2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
Efficient modeling of relational data arising in physical, social, and i...
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07/09/2020
Long Short-Term Memory Spiking Networks and Their Applications
Recent advances in event-based neuromorphic systems have resulted in sig...
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06/26/2020
Interpretable Factorization for Neural Network ECG Models
The ability of deep learning (DL) to improve the practice of medicine an...
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06/05/2020
Robust Face Verification via Disentangled Representations
We introduce a robust algorithm for face verification, i.e., deciding wh...
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03/25/2020
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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02/28/2020
Detecting Patch Adversarial Attacks with Image Residuals
We introduce an adversarial sample detection algorithm based on image re...
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02/07/2020
Stability and Scalability of Blockchain Systems
The blockchain paradigm provides a mechanism for content dissemination a...
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01/27/2020
Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques
Many performance critical systems today must rely on performance enhance...
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01/16/2020
Sequential decomposition of graphon mean field games
In this paper, we present a sequential decomposition algorithm to comput...
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12/21/2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoder
Variational autoencoders (VAE) have ushered in a new era of unsupervised...
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06/18/2019
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation
In this work, a deep learning-based quantization scheme for log-likeliho...
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03/11/2019
Deep Log-Likelihood Ratio Quantization
In this work, a deep learning-based method for log-likelihood ratio (LLR...
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01/31/2019
HashCore: Proof-of-Work Functions for General Purpose Processors
Over the past five years, the reward associated with mining Proof-of-Wor...
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11/05/2018
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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10/28/2018
Experimental Design for Cost-Aware Learning of Causal Graphs
We consider the minimum cost intervention design problem: Given the esse...
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07/26/2018
Entropic Latent Variable Discovery
We consider the problem of discovering the simplest latent variable that...
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06/17/2018
Compressed Sensing with Deep Image Prior and Learned Regularization
We propose a novel method for compressed sensing recovery using untraine...
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01/23/2018
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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09/06/2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
We propose an adversarial training procedure for learning a causal impli...
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03/08/2017
Cost-Optimal Learning of Causal Graphs
We consider the problem of learning a causal graph over a set of variabl...
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01/28/2017
Entropic Causality and Greedy Minimum Entropy Coupling
We study the problem of identifying the causal relationship between two ...
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11/12/2016
Entropic Causal Inference
We consider the problem of identifying the causal direction between two ...
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10/30/2015
Learning Causal Graphs with Small Interventions
We consider the problem of learning causal networks with interventions, ...
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09/22/2011