Aivar Sootla - RankMe

69 papers A* 4C 8Journal 44Unranked 12

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Block Factor-Width-Two Matrices and Their Applications to Semidefinite and Sum-of-Squares Optimization. IEEE Trans. Autom. Control. Yang Zheng, Aivar Sootla, Antonis Papachristodoulou
2023	J	`jnl`	Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh
2023	—	`conf`	Estimation of Regions of Attraction with Formal Certificates in a Purely Data-Driven Setting. CDC Alexandre Mauroy, Aivar Sootla
2023	A*	`conf`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2022	A*	`conf`	Enhancing Safe Exploration Using Safety State Augmentation. NeurIPS Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Enhancing Safe Exploration Using Safety State Augmentation. CoRR Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar
2022	A*	`conf`	Reinforcement Learning in Presence of Discrete Markovian Context Evolution. ICLR Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Reinforcement Learning in Presence of Discrete Markovian Context Evolution. CoRR Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SAMBA: safe model-based & active reinforcement learning. Mach. Learn. Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SEREN: Knowing When to Explore and When to Exploit. CoRR Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
2022	A*	`conf`	Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar
2022	J	`jnl`	Structured Q-learning For Antibody Design. CoRR Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
2022	J	`jnl`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2021	J	`jnl`	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021	J	`jnl`	Implicit Variational Conditional Sampling with Normalizing Flows. CoRR Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang
2020	J	`jnl`	Diagnosing and Preventing Instabilities in Recurrent Video Processing. CoRR Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh
2020	J	`jnl`	Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM. IEEE Trans. Control. Netw. Syst. Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou
2020	J	`jnl`	On the Existence of Block-Diagonal Solutions to Lyapunov and ${\mathcal {H}_\infty }$ Riccati Inequalities. IEEE Trans. Autom. Control. Aivar Sootla, Yang Zheng, Antonis Papachristodoulou
2020	J	`jnl`	SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar
2019	—	`conf`	Block Factor-Width-Two Matrices in Semidefinite Programming. ECC Aivar Sootla, Yang Zheng, Antonis Papachristodoulou
2019	J	`jnl`	Block Factor-Width-Two Matrices in Semidefinite Programming. CoRR Aivar Sootla, Yang Zheng, Antonis Papachristodoulou
2019	J	`jnl`	Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization. CoRR Yang Zheng, Aivar Sootla, Antonis Papachristodoulou
2019	J	`jnl`	Improving Orthogonality in Two-Component Biological Signalling Systems Using Feedback Control. IEEE Control. Syst. Lett. Harrison Steel, Aivar Sootla, Benjamin Smart, Nicolas Delalez, Antonis Papachristodoulou
2019	—	`conf`	Mitigating Biological Signalling Cross-talk with Feedback Control. ECC Harrison Steel, Aivar Sootla, Nicolas Delalez, Antonis Papachristodoulou
2018	J	`jnl`	Operator-Theoretic Characterization of Eventually Monotone Systems. IEEE Control. Syst. Lett. Aivar Sootla, Alexandre Mauroy
2018	J	`jnl`	Optimal control formulation of pulse-based control using Koopman operator. Autom. Aivar Sootla, Alexandre Mauroy, Damien Ernst
2018	J	`jnl`	Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. IEEE Trans. Autom. Control. Aivar Sootla, Damien Ernst
2018	—	`conf`	Scalable analysis of linear networked systems via chordal decomposition. ECC Yang Zheng, Maryam Kamgarpour, Aivar Sootla, Antonis Papachristodoulou
2017	J	`jnl`	An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator. CoRR Aivar Sootla, Alexandre Mauroy, Damien Ernst
2017	J	`jnl`	Block-Diagonal Solutions to Lyapunov Inequalities and Generalisations of Diagonal Dominance. CoRR Aivar Sootla, Yang Zheng, Antonis Papachristodoulou
2017	—	`conf`	Block-diagonal solutions to Lyapunov inequalities and generalisations of diagonal dominance. CDC Aivar Sootla, Yang Zheng, Antonis Papachristodoulou
2017	J	`jnl`	Geometric Properties of Isostables and Basins of Attraction of Monotone Systems. CoRR Aivar Sootla, Alexandre Mauroy
2017	J	`jnl`	Geometric Properties of Isostables and Basins of Attraction of Monotone Systems. IEEE Trans. Autom. Control. Aivar Sootla, Alexandre Mauroy
2017	J	`jnl`	Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. CoRR Aivar Sootla, Damien Ernst
2017	J	`jnl`	Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks. IEEE Trans. Autom. Control. Aivar Sootla, James Anderson
2016	—	`conf`	Construction of max-separable Lyapunov functions for monotone systems using the Koopman operator. CDC Aivar Sootla
2016	J	`jnl`	On Existence of Solutions to Structured Lyapunov Inequalities. CoRR Aivar Sootla, James Anderson
2016	C	`conf`	On existence of solutions to structured lyapunov inequalities. ACC Aivar Sootla, James Anderson
2016	C	`conf`	Properties of isostables and basins of attraction of monotone systems. ACC Aivar Sootla, Alexandre Mauroy
2016	J	`jnl`	Shaping Pulses to Control Bistable Monotone Systems Using Koopman Operator. CoRR Aivar Sootla, Alexandre Mauroy, Jorge Gonçalves
2016	J	`jnl`	Shaping pulses to control bistable systems: Analysis, computation and counterexamples. Autom. Aivar Sootla, Diego A. Oyarzún, David Angeli, Guy-Bart Stan
2015	J	`jnl`	Estimation of Isostables and Basins of Attraction of Monotone Systems. CoRR Aivar Sootla, Alexandre Mauroy
2015	J	`jnl`	On Monotonicity and Propagation of Order Properties. CoRR Aivar Sootla
2015	C	`conf`	On monotonicity and propagation of order properties. ACC Aivar Sootla
2015	C	`conf`	On optimisation programmes with hidden convexity. ACC Aivar Sootla
2015	J	`jnl`	Properties of Eventually Positive Linear Input-Output Systems. CoRR Aivar Sootla, Alexandre Mauroy
2015	C	`conf`	Shaping pulses to control bistable biological systems. ACC Aivar Sootla, Diego A. Oyarzún, David Angeli, Guy-Bart Stan
2015	J	`jnl`	Structured Projection-Based Model Reduction with Application to Stochastic Biochemical Networks. CoRR Aivar Sootla, James Anderson
2014	J	`jnl`	Distributed Reconstruction of Nonlinear Networks: An ADMM Approach. CoRR Wei Pan, Aivar Sootla, Guy-Bart Stan
2014	J	`jnl`	Nu-Gap Model Reduction in the Frequency Domain. IEEE Trans. Autom. Control. Aivar Sootla
2014	J	`jnl`	On Projection-Based Model Reduction of Biochemical Networks- Part I: The Deterministic Case. CoRR Aivar Sootla, James Anderson
2014	J	`jnl`	On Projection-Based Model Reduction of Biochemical Networks- Part II: The Stochastic Case. CoRR Aivar Sootla, James Anderson
2014	—	`conf`	On projection-based model reduction of biochemical networks part I: The deterministic case. CDC Aivar Sootla, James Anderson
2014	—	`conf`	On projection-based model reduction of biochemical networks part II: The stochastic case. CDC Aivar Sootla, James Anderson
2014	J	`jnl`	Shaping Pulses to Control Multi-Stable Biological Systems. CoRR Aivar Sootla, Diego A. Oyarzún, David Angeli, Guy-Bart Stan
2013	J	`jnl`	On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control CoRR Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
2013	—	`conf`	On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. CDC Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
2013	J	`jnl`	Parametrized model reduction based on semidefinite programming. Autom. Aivar Sootla, Kin Cheong Sou, Anders Rantzer
2013	J	`jnl`	Semidefinite Hankel-Type Model Reduction Based on Frequency Response Matching. IEEE Trans. Autom. Control. Aivar Sootla
2013	J	`jnl`	Toggling a Genetic Switch Using Reinforcement Learning CoRR Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
2012	C	`conf`	Convenient representations of structured systems for model order reduction. ACC Aivar Sootla, Anders Rantzer
2012	—	`—`	Model Order Reduction Based on Semidefinite Programming. Aivar Sootla
2012	—	`conf`	Scalable positivity preserving model reduction using linear energy functions. CDC Aivar Sootla, Anders Rantzer
2011	C	`conf`	Nu-gap model reduction in the frequency domain. ACC Aivar Sootla
2010	C	`conf`	Frequency domain model reduction method for parameter-dependent systems. ACC Aivar Sootla, Kin Cheong Sou
2010	—	`conf`	Hankel-type model reduction based on frequency response matching. CDC Aivar Sootla
2009	—	`conf`	Extensions to an optimization-based multivariable model reduction method. ECC Aivar Sootla, Anders Rantzer
2009	J	`jnl`	Multivariable Optimization-Based Model Reduction. IEEE Trans. Autom. Control. Aivar Sootla, Anders Rantzer, Georgios Kotsalis