David M. Rosen

47 papers A* 9A 4C 2Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Certifiable Estimation with Factor Graphs. CoRR Zhexin Xu, Nikolas R. Sanderson, Hanna Jiamei Zhang, David M. Rosen
2026	J	`jnl`	Implementing Robust M-Estimators with Certifiable Factor Graph Optimization. CoRR Zhexin Xu, Hanna Jiamei Zhang, Helena Calatrava, Pau Closas, David M. Rosen
2025	J	`jnl`	A Certifably Correct Algorithm for Generalized Robot-World and Hand-Eye Calibration. CoRR Emmett Wise, Pushyami Kaveti, Qilong Chen, Wenhao Wang, Hanumant Singh, Jonathan Kelly, David M. Rosen, Matthew Giamou
2025	A	`conf`	A Trust-Region Method for Graphical Stein Variational Inference. UAI Liam Pavlovic, David M. Rosen
2025	A*	`conf`	Distributed Certifiably Correct Range-Aided SLAM. ICRA Alexander Thoms, Alan Papalia, Jared Velasquez, David M. Rosen, Sriram Narasimhan
2025	J	`jnl`	Distributed Certifiably Correct Range-Aided SLAM. CoRR Alexander Thoms, Alan Papalia, Jared Velasquez, David M. Rosen, Sriram Narasimhan
2024	J	`jnl`	A Trust-Region Method for Graphical Stein Variational Inference. CoRR Liam Pavlovic, David M. Rosen
2024	J	`jnl`	An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. CoRR Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard
2024	J	`jnl`	Certifiably Correct Range-Aided SLAM. IEEE Trans. Robotics Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
2024	J	`jnl`	MAC: Maximizing Algebraic Connectivity for Graph Sparsification. CoRR Kevin J. Doherty, Alan Papalia, Yewei Huang, David M. Rosen, Brendan J. Englot, John J. Leonard
2024	A*	`conf`	OASIS: Optimal Arrangements for Sensing in SLAM. ICRA Pushyami Kaveti, Matthew Giamou, Hanumant Singh, David M. Rosen
2023	J	`jnl`	Certifiably Correct Range-Aided SLAM. CoRR Alan Papalia, Andrew Fishberg, Brendan W. O'Neill, Jonathan P. How, David M. Rosen, John J. Leonard
2023	J	`jnl`	Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2023	J	`jnl`	OASIS: Optimal Arrangements for Sensing in SLAM. CoRR Pushyami Kaveti, Matthew Giamou, Hanumant Singh, David M. Rosen
2023	A*	`conf`	SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. ICRA Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	Accelerating Certifiable Estimation with Preconditioned Eigensolvers. CoRR David M. Rosen
2022	J	`jnl`	Accelerating Certifiable Estimation with Preconditioned Eigensolvers. IEEE Robotics Autom. Lett. David M. Rosen
2022	J	`jnl`	Convex Iteration for Distance-Geometric Inverse Kinematics. IEEE Robotics Autom. Lett. Matthew Giamou, Filip Maric, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrovic, Jonathan Kelly
2022	A	`conf`	Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
2022	J	`jnl`	Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
2022	A*	`conf`	Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. ICRA Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM. CoRR Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	SCORE: A Second-Order Conic Initialization for Range-Aided SLAM. CoRR Alan Papalia, Joseph Morales, Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	A	`conf`	Spectral Measurement Sparsification for Pose-Graph SLAM. IROS Kevin J. Doherty, David M. Rosen, John J. Leonard
2022	J	`jnl`	Spectral Measurement Sparsification for Pose-Graph SLAM. CoRR Kevin J. Doherty, David M. Rosen, John J. Leonard
2021	J	`jnl`	Advances in Inference and Representation for Simultaneous Localization and Mapping. Annu. Rev. Control. Robotics Auton. Syst. David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard
2021	J	`jnl`	Advances in Inference and Representation for Simultaneous Localization and Mapping. CoRR David M. Rosen, Kevin J. Doherty, Antonio Terán Espinoza, John J. Leonard
2021	J	`jnl`	Convex Iteration for Distance-Geometric Inverse Kinematics. CoRR Matthew Giamou, Filip Maric, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrovic, Jonathan Kelly
2021	J	`jnl`	Distributed Certifiably Correct Pose-Graph Optimization. IEEE Trans. Robotics Yulun Tian, Kasra Khosoussi, David M. Rosen, Jonathan P. How
2021	J	`jnl`	Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard
2021	C	`conf`	Scalable Low-Rank Semidefinite Programming for Certifiably Correct Machine Perception. WAFR David M. Rosen
2020	—	`conf`	A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty. Robotics: Science and Systems Valentin Peretroukhin, Matthew Giamou, W. Nicholas Greene, David M. Rosen, Jonathan Kelly, Nicholas Roy
2020	J	`jnl`	A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty. CoRR Valentin Peretroukhin, Matthew Giamou, David M. Rosen, W. Nicholas Greene, Nicholas Roy, Jonathan Kelly
2020	—	`conf`	Shonan Rotation Averaging: Global Optimality by Surfing SO(p) ECCV (6) Frank Dellaert, David M. Rosen, Jing Wu, Robert E. Mahony, Luca Carlone
2020	J	`jnl`	Shonan Rotation Averaging: Global Optimality by Surfing SO(p) CoRR Frank Dellaert, David M. Rosen, Jing Wu, Robert E. Mahony, Luca Carlone
2019	J	`jnl`	SE-Sync: A certifiably correct algorithm for synchronization over the special Euclidean group. Int. J. Robotics Res. David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	C	`conf`	A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. WAFR David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	J	`jnl`	A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	J	`jnl`	SE-Sync: A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group. CoRR David M. Rosen, Luca Carlone, Afonso S. Bandeira, John J. Leonard
2016	A*	`conf`	Towards lifelong feature-based mapping in semi-static environments. ICRA David M. Rosen, Julian Mason, John J. Leonard
2015	A*	`conf`	A convex relaxation for approximate global optimization in simultaneous localization and mapping. ICRA David M. Rosen, Charles DuHadway, John J. Leonard
2015	J	`jnl`	Lagrangian Duality in 3D SLAM: Verification Techniques and Optimal Solutions. CoRR Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert
2015	A	`conf`	Lagrangian duality in 3D SLAM: Verification techniques and optimal solutions. IROS Luca Carlone, David M. Rosen, Giuseppe Carlo Calafiore, John J. Leonard, Frank Dellaert
2014	A*	`conf`	Inference over heterogeneous finite-/infinite-dimensional systems using factor graphs and Gaussian processes. ICRA David M. Rosen, Guoquan Huang, John J. Leonard
2014	J	`jnl`	RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation. IEEE Trans. Robotics David M. Rosen, Michael Kaess, John J. Leonard
2013	A*	`conf`	Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. ICRA David M. Rosen, Michael Kaess, John J. Leonard
2012	A*	`conf`	An incremental trust-region method for Robust online sparse least-squares estimation. ICRA David M. Rosen, Michael Kaess, John J. Leonard