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09/18/2023
A Geometric Framework for Neural Feature Learning
We present a novel framework for learning system design based on neural ...
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08/04/2023
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
Recurrent neural networks (RNNs) are known to be universal approximators...
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05/13/2023
On Semi-Supervised Estimation of Distributions
We study the problem of estimating the joint probability mass function (...
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03/15/2023
Interference-Aware Constellation Design for Z-Interference Channels with Imperfect CSI
A deep autoencoder (DAE)-based end-to-end communication over the two-use...
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01/04/2023
Kernel Subspace and Feature Extraction
We study kernel methods in machine learning from the perspective of feat...
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11/01/2022
On the Semi-supervised Expectation Maximization
The Expectation Maximization (EM) algorithm is widely used as an iterati...
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08/17/2022
Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing
One of the major open challenges in MIMO-OFDM receive processing is how ...
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10/03/2021
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
In this paper, we introduce a structure-based neural network architectur...
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12/01/2020
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
In this paper, we explore neural network-based strategies for performing...
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11/10/2020
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
In this paper, we investigate a neural network-based learning approach t...
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11/20/2019
On Universal Features for High-Dimensional Learning and Inference
We consider the problem of identifying universal low-dimensional feature...
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10/08/2019
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data
In this paper, we propose an information-theoretic approach to design th...
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05/16/2019
An Information Theoretic Interpretation to Deep Neural Networks
It is commonly believed that the hidden layers of deep neural networks (...
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11/22/2018
An Efficient Approach to Informative Feature Extraction from Multimodal Data
One primary focus in multimodal feature extraction is to find the repres...
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10/10/2018
