Marius Arvinte

30 papers A* 1B 3Misc 2Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. CoRR Asad Aali, Marius Arvinte, Sidharth Kumar, Yamin Ishraq Arefeen, Jonathan I. Tamir
2024	J	`jnl`	Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management. CoRR Ravikumar Balakrishnan, Marius Arvinte, Nageen Himayat, Hosein Nikopour, Hassnaa Moustafa
2024	J	`jnl`	Imperceptible Adversarial Examples in the Physical World. CoRR Weilin Xu, Sebastian Szyller, Cory Cornelius, Luis Murillo Rojas, Marius Arvinte, Alvaro Velasquez, Jason Martin, Nageen Himayat
2024	J	`jnl`	Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation. CoRR Kevin Stangl, Marius Arvinte, Weilin Xu, Cory Cornelius
2023	J	`jnl`	Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information. CoRR Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo
2023	J	`jnl`	Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE. CoRR Marius Arvinte, Cory Cornelius, Jason Martin, Nageen Himayat
2023	J	`jnl`	MIMO Channel Estimation Using Score-Based Generative Models. IEEE Trans. Wirel. Commun. Marius Arvinte, Jonathan I. Tamir
2023	Misc	`conf`	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
2023	J	`jnl`	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
2022	—	`conf`	End-to-end system for object detection from sub-sampled radar data. EUSIPCO Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo
2022	J	`jnl`	End-to-end system for object detection from sub-sampled radar data. CoRR Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo
2022	J	`jnl`	Joint high-dimensional soft bit estimation and quantization using deep learning. EURASIP J. Wirel. Commun. Netw. Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
2022	J	`jnl`	MIMO Channel Estimation using Score-Based Generative Models. CoRR Marius Arvinte, Jonathan I. Tamir
2022	B	`conf`	Score-Based Generative Models for Robust Channel Estimation. WCNC Marius Arvinte, Jonathan I. Tamir
2022	B	`conf`	Wideband and Entropy-Aware Deep Soft Bit Quantization. WCNC Marius Arvinte, Jonathan I. Tamir
2021	J	`jnl`	Deep Diffusion Models for Robust Channel Estimation. CoRR Marius Arvinte, Jonathan I. Tamir
2021	—	`conf`	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. MICCAI (6) Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
2021	J	`jnl`	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. CoRR Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik, Jonathan I. Tamir
2021	A*	`conf`	Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
2021	J	`jnl`	Robust Compressed Sensing MRI with Deep Generative Priors. CoRR Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
2021	J	`jnl`	Wideband and Entropy-Aware Deep Soft Bit Quantization. CoRR Marius Arvinte, Jonathan I. Tamir
2020	J	`jnl`	Detecting Patch Adversarial Attacks with Image Residuals. CoRR Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
2020	J	`jnl`	EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization. CoRR Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
2020	J	`jnl`	Robust Face Verification via Disentangled Representations. CoRR Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
2019	Misc	`conf`	Beam Management in 5G NR using Geolocation Side Information. CISS Marius Arvinte, Marcos Tavares, Dragan Samardzija
2019	—	`conf`	Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation. GLOBECOM Workshops Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik
2019	J	`jnl`	Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation. CoRR Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik
2019	—	`conf`	Deep Log-Likelihood Ratio Quantization. EUSIPCO Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
2019	J	`jnl`	Deep Log-Likelihood Ratio Quantization. CoRR Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
2018	B	`conf`	A Relax-and-Round Approach to Complex Lattice Basis Reduction. GLOBECOM Marius Arvinte, Ahmed H. Tewfik