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ORCIDMarius Arvinte
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2020 – today
- 2024
[i18]Ravikumar Balakrishnan, Marius Arvinte, Nageen Himayat, Hosein Nikopour, Hassnaa Moustafa:
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management. CoRR abs/2405.03891 (2024)- [i17]Kevin Stangl, Marius Arvinte, Weilin Xu, Cory Cornelius:
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation. CoRR abs/2405.07969 (2024) - [i16]Asad Aali, Marius Arvinte, Sidharth Kumar, Yamin Ishraq Arefeen, Jonathan I. Tamir:
Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. CoRR abs/2411.12919 (2024) - [i15]Weilin Xu, Sebastian Szyller, Cory Cornelius, Luis Murillo Rojas, Marius Arvinte, Alvaro Velasquez, Jason Martin, Nageen Himayat:
Imperceptible Adversarial Examples in the Physical World. CoRR abs/2411.16622 (2024) - 2023
- [j2]Marius Arvinte
, Jonathan I. Tamir:
MIMO Channel Estimation Using Score-Based Generative Models. IEEE Trans. Wirel. Commun. 22(6): 3698-3713 (2023) - [c10]Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir:
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC 2023: 837-843 - [i14]Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo:
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information. CoRR abs/2302.10450 (2023) - [i13]Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir:
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR abs/2305.01166 (2023) - [i12]Marius Arvinte, Cory Cornelius, Jason Martin, Nageen Himayat:
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE. CoRR abs/2310.07084 (2023) - 2022
- [j1]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir:
Joint high-dimensional soft bit estimation and quantization using deep learning. EURASIP J. Wirel. Commun. Netw. 2022(1): 51 (2022) - [c9]Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo:
End-to-end system for object detection from sub-sampled radar data. EUSIPCO 2022: 1886-1890 - [c8]Marius Arvinte, Jonathan I. Tamir:
Score-Based Generative Models for Robust Channel Estimation. WCNC 2022: 453-458 - [c7]Marius Arvinte, Jonathan I. Tamir:
Wideband and Entropy-Aware Deep Soft Bit Quantization. WCNC 2022: 2625-2630 - [i11]Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo:
End-to-end system for object detection from sub-sampled radar data. CoRR abs/2203.03905 (2022) - [i10]Marius Arvinte, Jonathan I. Tamir:
MIMO Channel Estimation using Score-Based Generative Models. CoRR abs/2204.07122 (2022) - 2021
- [c6]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir:
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. MICCAI (6) 2021: 350-360 - [c5]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS 2021: 14938-14954 - [i9]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir:
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. CoRR abs/2103.02087 (2021) - [i8]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR abs/2108.01368 (2021) - [i7]Marius Arvinte, Jonathan I. Tamir:
Wideband and Entropy-Aware Deep Soft Bit Quantization. CoRR abs/2110.09541 (2021) - [i6]Marius Arvinte, Jonathan I. Tamir:
Deep Diffusion Models for Robust Channel Estimation. CoRR abs/2111.08177 (2021) - 2020
- [i5]Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
Detecting Patch Adversarial Attacks with Image Residuals. CoRR abs/2002.12504 (2020) - [i4]Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
Robust Face Verification via Disentangled Representations. CoRR abs/2006.03638 (2020) - [i3]Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization. CoRR abs/2012.12843 (2020)
2010 – 2019
- 2019
- [c4]Marius Arvinte, Marcos Tavares, Dragan Samardzija:
Beam Management in 5G NR using Geolocation Side Information. CISS 2019: 1-6 - [c3]Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
Deep Log-Likelihood Ratio Quantization. EUSIPCO 2019: 1-5 - [c2]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik:
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation. GLOBECOM Workshops 2019: 1-6 - [i2]Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
Deep Log-Likelihood Ratio Quantization. CoRR abs/1903.04656 (2019) - [i1]Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik:
Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation. CoRR abs/1906.07849 (2019) - 2018
- [c1]Marius Arvinte, Ahmed H. Tewfik:
A Relax-and-Round Approach to Complex Lattice Basis Reduction. GLOBECOM 2018: 1-6
Coauthor Index
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