Mario Sznaier

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 99

Top Venues

CoRR

CDC

IEEE Control. Syst. Lett.

CVPR

Publications

Jared Miller, Matteo Tacchi, Didier Henrion, Mario Sznaier
Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization. CoRR (2024)
Jian Zheng, Jared Miller, Mario Sznaier
Data-Driven Safe Control of Discrete-Time Non-Linear Systems. IEEE Control. Syst. Lett. 8 (2024)
Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene, Mario Sznaier
Tractable Approximations of LMI Robust Feasibility Sets. IEEE Control. Syst. Lett. 8 (2024)
Haolin Li, Jinyang Liu, Mario Sznaier, Octavia I. Camps
3D-HGS: 3D Half-Gaussian Splatting. CoRR (2024)
Jared Miller, Tianyu Dai, Mario Sznaier
Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise. CoRR (2024)
Mario Sznaier, Xikang Zhang, Octavia I. Camps
Efficient Identification of Error-in-Variables Switched Systems Using a Riemannian Embedding. IEEE Trans. Autom. Control. 69 (2) (2024)
Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire, Mario Sznaier, Octavia I. Camps
Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. CoRR (2024)
Jared Miller, Tianyu Dai, Mario Sznaier
Data-Driven Superstabilizing Control Under Quadratically-Bounded Errors-in-Variables Noise. IEEE Control. Syst. Lett. 8 (2024)
Jared Miller, Tianyu Dai, Mario Sznaier, Bahram Shafai
Data-Driven Control of Positive Linear Systems using Linear Programming. CDC (2023)
Jared Miller, Mario Sznaier
Bounding the Distance to Unsafe Sets With Convex Optimization. IEEE Trans. Autom. Control. 68 (12) (2023)
Tianyu Dai, Mario Sznaier
Data-driven quadratic stabilization and LQR control of LTI systems. Autom. 153 (2023)
Jared Miller, Tianyu Dai, Mario Sznaier, Bahram Shafai
Data-Driven Control of Positive Linear Systems using Linear Programming. CoRR (2023)
Jared Miller, Milan Korda, Victor Magron, Mario Sznaier
Peak Estimation of Time Delay Systems using Occupation Measures. CoRR (2023)
Jared Miller, Matteo Tacchi, Mario Sznaier, Ashkan Jasour
Peak Value-at-Risk Estimation for Stochastic Differential Equations Using Occupation Measures. CDC (2023)
Jared Miller, Mario Sznaier
Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems Using Quadratic Matrix Inequalities. IEEE Control. Syst. Lett. 7 (2023)
Rajiv Singh, Mario Sznaier
Certified Control Oriented Learning: A Robust Predictor-Based Approach. IEEE Control. Syst. Lett. 7 (2023)
Jared Miller, Milan Korda, Victor Magron, Mario Sznaier
Peak Estimation of Time Delay Systems Using Occupation Measures. CDC (2023)
Jian Zheng, Tianyu Dai, Jared Miller, Mario Sznaier
Robust Data-Driven Safe Control using Density Functions. CoRR (2023)
Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps
Inferring Relational Potentials in Interacting Systems. ICML (2023)
Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps
Inferring Relational Potentials in Interacting Systems. CoRR (2023)
Jared Miller, Jian Zheng, Mario Sznaier, Chris Hixenbaugh
Data-Driven Superstabilization of Linear Systems under Quantization. CoRR (2023)
Jian Zheng, Tianyu Dai, Jared Miller, Mario Sznaier
Robust Data-Driven Safe Control Using Density Functions. IEEE Control. Syst. Lett. 7 (2023)
Armand Comas Massague, Christian Fernandez Lopez, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps
Learning Object-Centric Dynamic Modes from Video and Emerging Properties. L4DC (2023)
Xiong Zeng, Zexiang Liu, Zhe Du, Necmiye Ozay, Mario Sznaier
On the Hardness of Learning to Stabilize Linear Systems. CoRR (2023)
Xiong Zeng, Zexiang Liu, Zhe Du, Necmiye Ozay, Mario Sznaier
On the Hardness of Learning to Stabilize Linear Systems. CDC (2023)
Yuexi Zhang, Dan Luo, Balaji Sundareshan, Octavia I. Camps, Mario Sznaier
Cross-view Action Recognition via Contrastive View-invariant Representation. CoRR (2023)
Jared Miller, Mario Sznaier
Quantifying the Safety of Trajectories using Peak-Minimizing Control. CoRR (2023)
Jared Miller, Mario Sznaier
Peak Estimation of Hybrid Systems with Convex Optimization. CoRR (2023)
Jared Miller, Tianyu Dai, Mario Sznaier
Superstabilizing Control of Discrete-Time ARX Models under Error in Variables. CoRR (2022)
Jared Miller, Mario Sznaier
Bounding the Distance of Closest Approach to Unsafe Sets with Occupation Measures. CDC (2022)
Jared Miller, Tianyu Dai, Mario Sznaier
Data-Driven Superstabilizing Control of Error-in-Variables Discrete-Time Linear Systems. CDC (2022)
Michael Potter, Ilkay Yildiz Potter, Octavia I. Camps, Mario Sznaier
Dynamics-aware Representation Learning via Multivariate Time Series Transformers. ESANN (2022)
Jared Miller, Yang Zheng, Mario Sznaier, Antonis Papachristodoulou
Decomposed structured subsets for semidefinite and sum-of-squares optimization. Autom. 137 (2022)
Rajiv Singh, Mario Sznaier
Certified Control-Oriented Learning: A Coprime Factorization Approach. CDC (2022)
Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
SAIF: Sparse Adversarial and Interpretable Attack Framework. CoRR (2022)
Jared Miller, Mario Sznaier
Data-Driven Gain Scheduling Control of Linear Parameter-Varying Systems using Quadratic Matrix Inequalities. CoRR (2022)
Bengisu Özbay, Octavia I. Camps, Mario Sznaier
Fast Two-View Motion Segmentation Using Christoffel Polynomials. ECCV (30) (2022)
Biel Roig-Solvas, Mario Sznaier
Euclidean Distance Bounds for Linear Matrix Inequalities Analytic Centers Using a Novel Bound on the Lambert Function. SIAM J. Control. Optim. 60 (2) (2022)
Tianyu Dai, Mario Sznaier
A convex optimization approach to synthesizing state feedback data-driven controllers for switched linear systems. Autom. 139 (2022)
Jared Miller, Tianyu Dai, Mario Sznaier
Data-Driven Stabilizing and Robust Control of Discrete-Time Linear Systems with Error in Variables. CoRR (2022)
Mario Sznaier
A Data Driven, Convex Optimization Approach to Learning Koopman Operators. L4DC (2021)
Jared Miller, Didier Henrion, Mario Sznaier
Peak Estimation Recovery and Safety Analysis. IEEE Control. Syst. Lett. 5 (6) (2021)
Mario Sznaier
A Convex Optimization Approach to Learning Koopman Operators. CoRR (2021)
Biel Roig-Solvas, Mario Sznaier
Globally Convergent Low Complexity Algorithms for Semidefinite Programming. CDC (2021)
Jared Miller, Didier Henrion, Mario Sznaier
Peak Estimation Recovery and Safety Analysis. ACC (2021)
Jared Miller, Mario Sznaier
Facial Input Decompositions for Robust Peak and Reachable Set Estimation under Polyhedral Uncertainty. CoRR (2021)
Armand Comas Massague, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective. CoRR (2021)
Korkut Bekiroglu, Michael A. Russell, Constantino Lagoa, Rong Su, Mario Sznaier, Stephanie T. Lanza, Candice L. Odgers
Continuous-time model identification: application on a behavioural (miLife) study. Int. J. Control 94 (9) (2021)
Jared Miller, Didier Henrion, Mario Sznaier, Milan Korda
Peak Estimation for Uncertain and Switched Systems. CoRR (2021)
Jared Miller, Mario Sznaier
Bounding the Distance to Unsafe Sets with Convex Optimization. CoRR (2021)
Tianyu Dai, Mario Sznaier
A Semi-Algebraic Optimization Approach to Data-Driven Control of Continuous-Time Nonlinear Systems. IEEE Control. Syst. Lett. 5 (2) (2021)
Jared Miller, Didier Henrion, Mario Sznaier, Milan Korda
Peak Estimation for Uncertain and Switched Systems. CDC (2021)
Mario Sznaier
Control Oriented Learning in the Era of Big Data. IEEE Control. Syst. Lett. 5 (6) (2021)
Mohammadreza Chamanbaz, Mario Sznaier, Constantino Lagoa, Fabrizio Dabbene
Probabilistic Discrete Time Robust H2 Controller Design. CDC (2020)
Jared Miller, Didier Henrion, Mario Sznaier
Peak Estimation and Recovery with Occupation Measures. CoRR (2020)
Sadjad Asghari-Esfeden, Mario Sznaier, Octavia I. Camps
Dynamic Motion Representation for Human Action Recognition. WACV (2020)
Jared Miller, Rajiv Singh, Mario Sznaier
MIMO System Identification by Randomized Active-Set Methods. CDC (2020)
Yuexi Zhang, Yin Wang, Octavia I. Camps, Mario Sznaier
Key Frame Proposal Network for Efficient Pose Estimation in Videos. CoRR (2020)
Walter Lucia, Giuseppe Franzè, Mario Sznaier
A Hybrid Command Governor Scheme for Rotary Wings Unmanned Aerial Vehicles. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Rajiv Singh, Mario Sznaier
A Loewner Matrix Based Convex Optimization Approach to Finding Low Rank Mixed Time/Frequency Domain Interpolants. ACC (2020)
Yuexi Zhang, Yin Wang, Octavia I. Camps, Mario Sznaier
Key Frame Proposal Network for Efficient Pose Estimation in Videos. ECCV (17) (2020)
Jared Miller, Yang Zheng, Biel Roig-Solvas, Mario Sznaier, Antonis Papachristodoulou
Chordal Decomposition in Rank Minimized Semidefinite Programs with Applications to Subspace Clustering. CDC (2019)
Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
Solving Interpretable Kernel Dimension Reduction. CoRR (2019)
Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
Solving Interpretable Kernel Dimensionality Reduction. NeurIPS (2019)
Bengisu Özbay, Octavia I. Camps, Mario Sznaier
Efficient Identification of Error-in-Variables Switched Systems via a Sum-of-Squares Polynomial Based Subspace Clustering Method. CDC (2019)
B. Taskazan, Jared Miller, Uduak Inyang-Udoh, Octavia I. Camps, Mario Sznaier
Domain Adaptation Based Fault Detection in Label Imbalanced Cyberphysical Systems. CCTA (2019)
Julian Berberich, Mario Sznaier, Frank Allgöwer
Signal Estimation and System Identification With Nonlinear Dynamic Sensors. CCTA (2019)
Jared Miller, Yang Zheng, Mario Sznaier, Antonis Papachristodoulou
Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization. CoRR (2019)
Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. CoRR (2019)
Tianyu Dai, Mario Sznaier
Worst-Case Optimal Data-Driven Estimators for Switched Discrete-Time Linear Systems. CDC (2019)
Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
Iterative Spectral Method for Alternative Clustering. CoRR (2019)
Mengran Gou, Fei Xiong, Octavia I. Camps, Mario Sznaier
MoNet: Moments Embedding Network. CoRR (2018)
Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy
Iterative Spectral Method for Alternative Clustering. AISTATS (2018)
WenQian Liu, Abhishek Sharma, Octavia I. Camps, Mario Sznaier
DYAN: A Dynamical Atoms Network for Video Prediction. CoRR (2018)
Rasmus L. Christensen, Kresten K. Sorensen, Rafal Wisniewski, Mario Sznaier
Unsupervised Fault Detection of Reefer Containers: A Moments-Based SDP Approach. CCTA (2018)
Mengran Gou, Fei Xiong, Octavia I. Camps, Mario Sznaier
MoNet: Moments Embedding Network. CVPR (2018)
Korkut Bekiroglu, Mustafa Ayazoglu, Constantino Lagoa, Mario Sznaier
Hankel Matrix Rank as Indicator of Ghost in Bearing-Only Tracking. IEEE Trans. Aerosp. Electron. Syst. 54 (6) (2018)
Mario Sznaier, Octavia I. Camps
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms. CVPR (2018)
Xikang Zhang, Mario Sznaier, Octavia I. Camps
Efficient Identification of Error-in Variables Switched Systems Based on Riemannian Distance-Like Functions. CDC (2018)
Burak Yilmaz, Korkut Bekiroglu, Constantino Lagoa, Mario Sznaier
A Randomized Algorithm for Parsimonious Model Identification. IEEE Trans. Autom. Control. 63 (2) (2018)
WenQian Liu, Abhishek Sharma, Octavia I. Camps, Mario Sznaier
DYAN: A Dynamical Atoms-Based Network for Video Prediction. ECCV (12) (2018)
Tianyu Dai, Mario Sznaier
A Moments Based Approach to Designing MIMO Data Driven Controllers for Switched Systems. CDC (2018)
Yin Wang, Jose A. Lopez, Mario Sznaier
Convex Optimization Approaches to Information Structured Decentralized Control. IEEE Trans. Autom. Control. 63 (10) (2018)
WenQian Liu, Octavia I. Camps, Mario Sznaier
Multi-camera Multi-Object Tracking. CoRR (2017)
Amirreza Oghbaee, Bahram Shafai, Mario Sznaier
Symmetric positive stabilization of linear time-invariant systems. CCECE (2017)
Mengran Gou, Octavia I. Camps, Mario Sznaier
moM: Mean of Moments Feature for Person Re-identification. ICCV Workshops (2017)
Xikang Zhang, Bengisu Özbay, Mario Sznaier, Octavia I. Camps
Dynamics Enhanced Multi-camera Motion Segmentation from Unsynchronized Videos. ICCV (2017)
Korkut Bekiroglu, Mustafa Ayazoglu, Constantino M. Lagoa, Mario Sznaier
An efficient approach to the radar ghost elimination problem. ACC (2016)
Xikang Zhang, Yin Wang, Mengran Gou, Mario Sznaier, Octavia I. Camps
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold. CVPR (2016)
Yin Wang, Bengisu Özbay, M. Sharif, Mario Sznaier
A convex optimization approach to design of information structured linear constrained controllers. CDC (2016)
Mengran Gou, Xikang Zhang, Angels Rates-Borras, Sadjad Asghari-Esfeden, Mario Sznaier, Octavia I. Camps
Person Re-identification in Appearance Impaired Scenarios. CoRR (2016)
Yin Wang, Octavia I. Camps, Mario Sznaier, Biel Roig-Solvas
Jensen Bregman LogDet Divergence Optimal Filtering in the Manifold of Positive Definite Matrices. ECCV (7) (2016)
Xikang Zhang, Yongfang Cheng, Yin Wang, Mario Sznaier, Octavia I. Camps
Identification of switched wiener systems based on local embedding. CDC (2016)
Octavia I. Camps, Constantino Lagoa, Mario Sznaier
The role of sparsity and dynamics in extracting information sparsely encoded in very large data sets. CCA (2016)
Caglayan Dicle, Burak Yilmaz, Octavia I. Camps, Mario Sznaier
Solving Temporal Puzzles. CVPR (2016)
Octavia I. Camps, Mario Sznaier, Xikang Zhang
Convex behavioral model (in)validation via Jensen-Bregman divergence minimization. ACC (2016)
Mengran Gou, Xikang Zhang, Angels Rates-Borras, Sadjad Asghari-Esfeden, Octavia I. Camps, Mario Sznaier
Person Re-identification in Appearance Impaired Scenarios. BMVC (2016)
Yin Wang, Mario Sznaier, Octavia I. Camps
A super-atomic norm minimization approach to identifying sparse dynamical graphical models. ACC (2016)
Yongfang Cheng, Yin Wang, Mario Sznaier, Octavia I. Camps
Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming. CVPR (2016)
Yin Wang, Caglayan Dicle, Mario Sznaier, Octavia I. Camps
Self Scaled Regularized Robust Regression. CVPR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mario Sznaier