Marius Arvinte

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Kevin Stangl, Marius Arvinte, Weilin Xu, Cory Cornelius

CoRR, 2024

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

Ravikumar Balakrishnan, Marius Arvinte, Nageen Himayat, Hosein Nikopour, Hassnaa Moustafa

CoRR, 2024

2023

MIMO Channel Estimation Using Score-Based Generative Models.

Marius Arvinte, Jonathan I. Tamir

IEEE Trans. Wirel. Commun., June, 2023

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

Marius Arvinte, Cory Cornelius, Jason Martin, Nageen Himayat

CoRR, 2023

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

Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo

CoRR, 2023

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data.

Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir

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.

Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir

EURASIP J. Wirel. Commun. Netw., 2022

Wideband and Entropy-Aware Deep Soft Bit Quantization.

Marius Arvinte, Jonathan I. Tamir

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Score-Based Generative Models for Robust Channel Estimation.

Marius Arvinte, Jonathan I. Tamir

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

End-to-end system for object detection from sub-sampled radar data.

Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Deep Diffusion Models for Robust Channel Estimation.

Marius Arvinte, Jonathan I. Tamir

CoRR, 2021

Robust Compressed Sensing MRI with Deep Generative Priors.

Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir

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.

Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir

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.

Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath

CoRR, 2020

Robust Face Verification via Disentangled Representations.

Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath

CoRR, 2020

Detecting Patch Adversarial Attacks with Image Residuals.

Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath

CoRR, 2020

2019

Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation.

Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Deep Log-Likelihood Ratio Quantization.

Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath

Proceedings of the 27th European Signal Processing Conference, 2019

Beam Management in 5G NR using Geolocation Side Information.

Marius Arvinte, Marcos Tavares, Dragan Samardzija

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018

A Relax-and-Round Approach to Complex Lattice Basis Reduction.

Marius Arvinte, Ahmed H. Tewfik

Proceedings of the IEEE Global Communications Conference, 2018