Brian M. Sadler

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 153

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

ACSSC

Publications

Brian M. Sadler, Fikadu T. Dagefu, Jeffrey N. Twigg, Gunjan Verma, Predrag Spasojevic, Richard J. Kozick, Justin Kong
Low Frequency Multi-Robot Networking. IEEE Access 12 (2024)
Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. CoRR (2024)
Michael Y. Fatemi, Wesley A. Suttle, Brian M. Sadler
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks. CoRR (2024)
Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Factor Graph Processing for Dual-Blind Deconvolution at ISAC Receiver. CoRR (2023)
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support. ICASSP (2023)
Jonathan Monsalve, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications. CAMSAP (2023)
Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
An Invitation to Hypercomplex Phase Retrieval: Theory and Applications. CoRR (2023)
Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, Yu Su
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. ICCV (2023)
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. CoRR (2023)
Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. CoRR (2023)
Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Factor Graph Processing for Dual-Blind Deconvolution at ISAC Receiver. CAMSAP (2023)
Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. ICML (2023)
John A. Hodge, Kumar Vijay Mishra, Brian M. Sadler, Amir I. Zaghloul
Index-Modulated Metasurface Transceiver Design Using Reconfigurable Intelligent Surfaces for 6G Wireless Networks. IEEE J. Sel. Top. Signal Process. 17 (6) (2023)
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization. FUSION (2023)
James McCoy, Atul Rawal, Danda B. Rawat, Brian M. Sadler
Ensemble Deep Learning for Sustainable Multimodal UAV Classification. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Octonion Phase Retrieval. CoRR (2023)
Kumar Vijay Mishra, Sunder Ram Krishnan, Brian M. Sadler
Constellation Design With Hypercube Graphs. IEEE Signal Process. Lett. 30 (2023)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. ICASSP (2023)
Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI (2023)
Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization. CoRR (2023)
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello
Joint Radar-Communications Processing from A Dual-Blind Deconvolution Perspective. ICASSP (2022)
Amanda Prorok, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme
Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics 38 (1) (2022)
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. ICML (2022)
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. CoRR (2022)
Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus. CoRR (2022)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. CoRR (2022)
Roman Jacome, Kumar Vijay Mishra, Edwin Vargas, Brian M. Sadler, Henry Arguello
Multi-dimensional dual-blind deconvolution approach toward joint radar-communications. CoRR (2022)
Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory. CoRR (2022)
Jeffrey N. Twigg, Fikadu T. Dagefu, Nikhil Chopra, Brian M. Sadler
Robotic Parasitic Array Control for Increased RSS in Non-Line-of-Sight. IEEE Robotics Autom. Lett. 7 (4) (2022)
Felix O. Olowononi, Danda B. Rawat, Charles A. Kamhoua, Brian M. Sadler
Deep Reinforcement Learning for Deception in IRS-assisted UAV Communications. MILCOM (2022)
Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler
Distributed Learning With Sparsified Gradient Differences. CoRR (2022)
DeMarcus Edwards, Danda B. Rawat, Brian M. Sadler
Adversarial Promotion for Video based Recommender Systems. CogMI (2022)
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. CISS (2022)
Atul Rawal, James McCoy, Danda B. Rawat, Brian M. Sadler, Robert St. Amant
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives. IEEE Trans. Artif. Intell. 3 (6) (2022)
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. CVPR (2022)
Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler
Distributed Learning With Sparsified Gradient Differences. IEEE J. Sel. Top. Signal Process. 16 (3) (2022)
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Jonathan Monsalve, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications. CoRR (2022)
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. CoRR (2022)
Yagiz Savas, Mustafa O. Karabag, Brian M. Sadler, Ufuk Topcu
Deceptive Planning for Resource Allocation. CoRR (2022)
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. CoRR (2022)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR (2022)
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems. CoRR (2022)
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent. CoRR (2022)
Yagiz Savas, Erfaun Noorani, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler
Collaborative one-shot beamforming under localization errors: A discrete optimization approach. Signal Process. 200 (2022)
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Phase Retrieval for Radar Waveform Design. CoRR (2022)
Roman Jacome, Kumar Vijay Mishra, Edwin Vargas, Brian M. Sadler, Henry Arguello
Multi-Dimensional Dual-Blind Deconvolution Approach Toward Joint Radar-Communications. SPAWC (2022)
Eric Muhati, Danda B. Rawat, Brian M. Sadler
A New Cyber-Alliance of Artificial Intelligence, Internet of Things, Blockchain, and Edge Computing. IEEE Internet Things Mag. 5 (1) (2022)
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. CoRR (2022)
DeMarcus Edwards, Danda B. Rawat, Brian M. Sadler
Study of Adversarial Machine Learning for Enhancing Human Action Classification. IRI (2022)
John A. Hodge, Kumar Vijay Mishra, Brian M. Sadler, Amir I. Zaghloul
Performance Analysis of Spatial and Frequency Domain Index-Modulated Reconfigurable Intelligent Metasurfaces. ICASSP (2021)
Jake Bailey Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum
Artificial Noise-Aided MIMO Physical Layer Authentication With Imperfect CSI. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR (2021)
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Banraw: Band-Limited Radar Waveform Design Via Phase Retrieval. ICASSP (2021)
Zhan Gao, Subhrajit Bhattacharya, Leiming Zhang, Rick S. Blum, Alejandro Ribeiro, Brian M. Sadler
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping. CoRR (2021)
Alec Koppel, Amrit Singh Bedi, Brian M. Sadler, Víctor Elvira
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling. IEEE Trans. Signal Process. 69 (2021)
Justin Kong, Fikadu T. Dagefu, Brian M. Sadler
Multi-Group Distributed Nullforming and Sectorized Jamming. IEEE Trans. Veh. Technol. 70 (9) (2021)
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
WaveMax: FrFT-Based Convex Phase Retrieval for Radar Waveform Design. ISIT (2021)
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR (2021)
Ishmam Zabir, Ahmed Maksud, Gaojie Chen, Brian M. Sadler, Yingbo Hua
Secrecy of Multi-Antenna Transmission With Full-Duplex User in the Presence of Randomly Located Eavesdroppers. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk Topcu
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations. ICASSP (2021)
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model. IEEE Trans. Signal Process. 69 (2021)
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP (2021)
Leiming Zhang, Brian M. Sadler, Rick S. Blum, Subhrajit Bhattacharya
Inter-Cluster Transmission Control Using Graph Modal Barriers. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns. ACSCC (2021)
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective. CoRR (2021)
Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler
Collaborative Beamforming for Agents with Localization Errors. ACSCC (2021)
Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns. CoRR (2021)
Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. WWW (2021)
Leiming Zhang, Brian M. Sadler, Rick S. Blum, Subhrajit Bhattacharya
Inter-cluster Transmission Control Using Graph Modal Barriers. CoRR (2020)
Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. CoRR (2020)
Justin Kong, Fikadu T. Dagefu, Brian M. Sadler
Distributed Beamforming in the Presence of Adversaries. IEEE Trans. Veh. Technol. 69 (9) (2020)
Justin Kong, Fikadu T. Dagefu, Brian M. Sadler
Coverage Analysis of Distributed Beamforming With Random Phase Offsets Using Ginibre Point Process. IEEE Access 8 (2020)
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. IEEE Signal Process. Mag. 37 (3) (2020)
Justin Kong, Fikadu T. Dagefu, Brian M. Sadler
Performance Analysis of Distributed Beamforming With Random Phase Offsets. WCNC (2020)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. ACC (2020)
Ishmam Zabir, Ahmed Maksud, Gaojie Chen, Brian M. Sadler, Yingbo Hua
Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers. CoRR (2020)
Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. CoRR (2020)
Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. CoRR (2020)
Daigo Shishika, Douglas G. Macharet, Brian M. Sadler, Vijay Kumar
Game Theoretic Formation Design for Probabilistic Barrier Coverage. IROS (2020)
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions. SPAWC (2020)
Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler
Distributed Beamforming for Agents with Localization Errors. CoRR (2020)
Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler
Two-Element Biomimetic Antenna Array Design and Performance. ICASSP (2020)
Justin Kong, Fikadu T. Dagefu, Brian M. Sadler
Simultaneous Beamforming and Nullforming for Covert Wireless Communications. VTC Spring (2020)
Yicheng Chen, Brian M. Sadler, Rick S. Blum
Ordered Gradient Approach for Communication-Efficient Distributed Learning. SPAWC (2020)
Jeffrey N. Twigg, Nikhil Chopra, Brian M. Sadler
Communication Maintenance of Robotic Parasitic Antenna Arrays. IEEE Robotics Autom. Lett. 5 (4) (2020)
Justin Kong, Fikadu T. Dagefu, Brian M. Sadler
Distributed Adaptive Beamforming and Nullforming for Covert Wireless Communications. VTC Fall (2019)
Jake Bailey Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum
Fingerprint Embedding Authentication with Artificial Noise: MISO Regime. CNS (2019)
Ishmam Zabir, Ahmed Maksud, Brian M. Sadler, Yingbo Hua
Secure Downlink Transmission to Full-Duplex User against Randomly Located Eavesdroppers. GLOBECOM (2019)
Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Víctor Elvira
Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. ACSSC (2019)
Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. AAAI (2019)
Amanda Prorok, Brian M. Sadler, Magnus Egerstedt, Vijay Kumar
Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". Auton. Robots 43 (3) (2019)
Yicheng Chen, Rick S. Blum, Brian M. Sadler, Jiangfan Zhang
Testing the Structure of a Gaussian Graphical Model With Reduced Transmissions in a Distributed Setting. IEEE Trans. Signal Process. 67 (20) (2019)
Thomas A. Baran, Gene Frantz, Fernando A. Mujica, Mariappan S. Nadar, Brian M. Sadler, Yonina C. Eldar, Martin Haardt, Peter Willett
An Industry and Government Perspective on Challenges and Open Problems in Signal Processing [SP Forum]. IEEE Signal Process. Mag. 36 (2) (2019)
Jeffrey N. Twigg, Fikadu T. Dagefu, Nikhil Chopra, Brian M. Sadler
Robotic Parasitic Array Optimization in Outdoor Environments. SSRR (2019)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. CoRR (2019)
Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR (2019)
Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler
Decentralized Dictionary Learning Over Time-Varying Digraphs. J. Mach. Learn. Res. 20 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brian M. Sadler