Marius Arvinte

Orcid: 0000-0002-9328-9223

According to our database1, Marius Arvinte authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation.
CoRR, 2024

Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management.
CoRR, 2024

2023
MIMO Channel Estimation Using Score-Based Generative Models.
IEEE Trans. Wirel. Commun., June, 2023

Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE.
CoRR, 2023

Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information.
CoRR, 2023

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Joint high-dimensional soft bit estimation and quantization using deep learning.
EURASIP J. Wirel. Commun. Netw., 2022

Wideband and Entropy-Aware Deep Soft Bit Quantization.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Score-Based Generative Models for Robust Channel Estimation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

End-to-end system for object detection from sub-sampled radar data.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Deep Diffusion Models for Robust Channel Estimation.
CoRR, 2021

Robust Compressed Sensing MRI with Deep Generative Priors.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization.
CoRR, 2020

Robust Face Verification via Disentangled Representations.
CoRR, 2020

Detecting Patch Adversarial Attacks with Image Residuals.
CoRR, 2020

2019
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Deep Log-Likelihood Ratio Quantization.
Proceedings of the 27th European Signal Processing Conference, 2019

Beam Management in 5G NR using Geolocation Side Information.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
A Relax-and-Round Approach to Complex Lattice Basis Reduction.
Proceedings of the IEEE Global Communications Conference, 2018


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