A Relax-and-Round Approach to Complex Lattice Basis Reduction. - Marius Arvinte; Ahmed H. Tewfik (GLOBECOM, 2018)

Beam Management in 5G NR using Geolocation Side Information. - Marius Arvinte; Marcos Tavares; Dragan Samardzija (CISS, 2019)

Deep Log-Likelihood Ratio Quantization. - Marius Arvinte; Ahmed H. Tewfik; Sriram Vishwanath (EUSIPCO, 2019)

Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation. - Marius Arvinte; Sriram Vishwanath; Ahmed H. Tewfik (GLOBECOM Workshops, 2019)

Detecting Patch Adversarial Attacks with Image Residuals. - Marius Arvinte; Ahmed H. Tewfik; Sriram Vishwanath (CoRR, 2020)

Robust Face Verification via Disentangled Representations. - Marius Arvinte; Ahmed H. Tewfik; Sriram Vishwanath (CoRR, 2020)

EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization. - Marius Arvinte; Ahmed H. Tewfik; Sriram Vishwanath (CoRR, 2020)

Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization. - Marius Arvinte; Sriram Vishwanath; Ahmed H. Tewfik; Jonathan I. Tamir (MICCAI (6), 2021)

Robust Compressed Sensing MRI with Deep Generative Priors. - Ajil Jalal; Marius Arvinte; Giannis Daras; Eric Price 001; Alexandros G. Dimakis; Jonathan I. Tamir (NeurIPS, 2021)

Deep Diffusion Models for Robust Channel Estimation. - Marius Arvinte; Jonathan I. Tamir (CoRR, 2021)

End-to-end system for object detection from sub-sampled radar data. - Madhumitha Sakthi; Ahmed H. Tewfik; Marius Arvinte; Haris Vikalo (EUSIPCO, 2022)

Score-Based Generative Models for Robust Channel Estimation. - Marius Arvinte; Jonathan I. Tamir (WCNC, 2022)

Wideband and Entropy-Aware Deep Soft Bit Quantization. - Marius Arvinte; Jonathan I. Tamir (WCNC, 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)

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. - Asad Aali; Marius Arvinte; Sidharth Kumar; Jonathan I. Tamir (ACSSC, 2023)

Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information. - Madhumitha Sakthi; Ahmed H. Tewfik; Marius Arvinte; Haris Vikalo (CoRR, 2023)

Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE. - Marius Arvinte; Cory Cornelius; Jason Martin; Nageen Himayat (CoRR, 2023)

MIMO Channel Estimation Using Score-Based Generative Models. - Marius Arvinte; Jonathan I. Tamir (IEEE Trans. Wirel. Commun., 2023)

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)

Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation. - Kevin Stangl; Marius Arvinte; Weilin Xu; Cory Cornelius (CoRR, 2024)

Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. - Asad Aali; Marius Arvinte; Sidharth Kumar; Yamin Ishraq Arefeen; Jonathan I. Tamir (CoRR, 2024)

Imperceptible Adversarial Examples in the Physical World. - Weilin Xu; Sebastian Szyller; Cory Cornelius; Luis Murillo Rojas; Marius Arvinte; Alvaro Velasquez; Jason Martin; Nageen Himayat (CoRR, 2024)