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05/02/2023
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
We present SURE-Score: an approach for learning score-based generative m...
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02/21/2023
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information
Automotive radar has increasingly attracted attention due to growing int...
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04/14/2022
MIMO Channel Estimation using Score-Based Generative Models
Channel estimation is a critical task in multiple-input multiple-output ...
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03/08/2022
End-to-end system for object detection from sub-sampled radar data
Robust and accurate sensing is of critical importance for advancing auto...
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11/16/2021
Deep Diffusion Models for Robust Channel Estimation
Channel estimation is a critical task in digital communications that gre...
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10/18/2021
Wideband and Entropy-Aware Deep Soft Bit Quantization
Deep learning has been recently applied to physical layer processing in ...
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08/03/2021
Robust Compressed Sensing MRI with Deep Generative Priors
The CSGM framework (Bora-Jalal-Price-Dimakis'17) has shown that deep gen...
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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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12/23/2020
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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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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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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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