Franck Djeumou

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All published works
Action Title Year Authors
+ PDF Chat First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling 2024 Alexander Davydov
Franck Djeumou
Marcus Greiff
Makoto Suminaka
Michael Thompson
John Subosits
Thomas Lew
+ PDF Chat Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies 2024 Franck Djeumou
Michael Thompson
Makoto Suminaka
John Subosits
+ PDF Chat Risk-Averse Model Predictive Control for Racing in Adverse Conditions 2024 Thomas Lew
Marcus Greiff
Franck Djeumou
Makoto Suminaka
Michael Thompson
John Subosits
+ PDF Chat Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control 2024 Adam J. Thorpe
Cyrus Neary
Franck Djeumou
Meeko Oishi
Ufuk Topcu
+ PDF Chat Autonomous Drifting with 3 Minutes of Data via Learned Tire Models 2023 Franck Djeumou
Jonathan Y. M. Goh
Ufuk Topcu
Avinash Balachandran
+ PDF Chat Task-guided IRL in POMDPs that scales 2023 Franck Djeumou
Christian Ellis
Murat Cubuktepe
Craig Lennon
Ufuk Topcu
+ Task-Guided IRL in POMDPs that Scales 2023 Franck Djeumou
Christian Ellis
Murat Cubuktepe
Craig Lennon
Ufuk Topcu
+ Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control 2023 Adam J. Thorpe
Cyrus Neary
Franck Djeumou
Meeko Oishi
Ufuk Topcu
+ Autonomous Drifting with 3 Minutes of Data via Learned Tire Models 2023 Franck Djeumou
Jonathan Y. M. Goh
Ufuk Topcu
Avinash Balachandran
+ How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations 2023 Franck Djeumou
Cyrus Neary
Ufuk Topcu
+ PDF Chat On-the-Fly Control of Unknown Systems: From Side Information to Performance Guarantees Through Reachability 2022 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ PDF Chat Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs 2022 Franck Djeumou
Cyrus Neary
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ PDF Chat Task-Guided Inverse Reinforcement Learning under Partial Information 2022 Franck Djeumou
Murat Cubuktepe
Craig Lennon
Ufuk Topcu
+ PDF Chat Blending Controllers via Multi-Objective Bandits 2022 Parham Gohari
Franck Djeumou
Abraham P. Vinod
Ufuk Topcu
+ PDF Chat Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach 2022 Franck Djeumou
Zhe Xu
Murat Cubuktepe
Ufuk Topcu
+ PDF Chat Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching 2022 Bo Wu
Murat Cubuktepe
Franck Djeumou
Zhe Xu
Ufuk Topcu
+ PDF Chat Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs 2022 Franck Djeumou
Cyrus Neary
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ PDF Chat Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling 2022 Franck Djeumou
Cyrus Neary
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information. 2021 Franck Djeumou
Ufuk Topcu
+ PDF Chat On-The-Fly Control of Unknown Smooth Systems from Limited Data 2021 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ PDF Chat Online Synthesis for Runtime Enforcement of Safety in Multiagent Systems 2021 Dhananjay Raju
Suda Bharadwaj
Franck Djeumou
Ufuk Topcu
+ Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers 2021 Christos K. Verginis
Franck Djeumou
Ufuk Topcu
+ Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach 2021 Franck Djeumou
Zhe Xu
Murat Cubuktepe
Ufuk Topcu
+ Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information 2021 Franck Djeumou
Ufuk Topcu
+ Task-Guided Inverse Reinforcement Learning Under Partial Information 2021 Franck Djeumou
Murat Cubuktepe
Craig Lennon
Ufuk Topcu
+ Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling 2021 Franck Djeumou
Cyrus Neary
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ On-The-Fly Control of Unknown Systems: From Side Information to Performance Guarantees through Reachability. 2020 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ On-The-Fly Control of Unknown Smooth Systems from Limited Data 2020 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ PDF Chat Policy Synthesis for Switched Linear Systems with Markov Decision Process Switching 2020 Bo Wu
Murat Cubuktepe
Franck Djeumou
Zhe Xu
Ufuk Topcu
+ Policy Synthesis for Switched Linear Systems with Markov Decision Process Switching 2020 Bo Wu
Murat Cubuktepe
Franck Djeumou
Zhe Xu
Ufuk Topcu
+ On-The-Fly Control of Unknown Systems: From Side Information to Performance Guarantees through Reachability 2020 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ On-The-Fly Control of Unknown Smooth Systems from Limited Data 2020 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
+ Blending Controllers via Multi-Objective Bandits 2020 Parham Gohari
Franck Djeumou
Abraham P. Vinod
Ufuk Topcu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control 2018 Milan Korda
Igor Mezić
6
+ PDF Chat Dynamic Mode Decomposition with Control 2016 Joshua L. Proctor
Steven L. Brunton
J. Nathan Kutz
6
+ PDF Chat Sparse identification of nonlinear dynamics for model predictive control in the low-data limit 2018 Eurika Kaiser
J. Nathan Kutz
Steven L. Brunton
6
+ PDF Chat Data-Driven Reachable Set Computation using Adaptive Gaussian Process Classification and Monte Carlo Methods 2020 Alex Devonport
Murat Arcak
5
+ Validated solutions of initial value problems for ordinary differential equations 1999 Nedialko S. Nedialkov
Kenneth R. Jackson
George F. Corliss
5
+ PDF Chat Control-Oriented Learning on the Fly 2019 Melkior Ornik
Steven Carr
Arie Israel
Ufuk Topcu
5
+ Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems 2018 Mo Chen
Sylvia Herbert
Mahesh S. Vashishtha
Somil Bansal
Claire J. Tomlin
4
+ Convexified contextual optimization for on-the-fly control of smooth systems 2020 Abraham P. Vinod
Arie Israel
Ufuk Topcu
4
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
4
+ PDF Chat Controller Synthesis for Multi-Agent Systems With Intermittent Communication. A Metric Temporal Logic Approach 2019 Zhe Xu
Federico M. Zegers
Bo Wu
Warren E. Dixon
Ufuk Topcu
3
+ On-The-Fly Control of Unknown Smooth Systems from Limited Data 2020 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
3
+ Neural ordinary differential equations 2018 Ricky T. Q. Chen
Yulia Rubanova
Jesse Bettencourt
David Duvenaud
3
+ Hamiltonian Neural Networks 2019 Sam Greydanus
Misko Dzamba
Jason Yosinski
3
+ Robust one‐step receding horizon control for constrained systems 1999 Byung‐Gun Park
Jae‐Won Lee
Wook Hyun Кwon
3
+ Multiple Lyapunov functions and other analysis tools for switched and hybrid systems 1998 Michael S. Branicky
2
+ A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion 2013 Yangyang Xu
Wotao Yin
2
+ PDF Chat A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization 2013 Meisam Razaviyayn
Mingyi Hong
Zhi-Quan Luo
2
+ PDF Chat Ordinary Differential Equations and Dynamical Systems 2012 Gerald Teschl
2
+ Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling 2021 Franck Djeumou
Cyrus Neary
Éric Goubault
Sylvie Putot
Ufuk Topcu
2
+ PDF Chat An Algorithmic Perspective on Imitation Learning 2018 Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
2
+ Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control 2021 Thai Duong
Nikolay Atanasov
2
+ Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics 2020 Manuel A. Roehrl
Thomas A. Runkler
Veronika Brandtstetter
Michel Tokic
Stefan Obermayer
2
+ PDF Chat On-The-Fly Control of Unknown Smooth Systems from Limited Data 2021 Franck Djeumou
Abraham P. Vinod
Éric Goubault
Sylvie Putot
Ufuk Topcu
2
+ LagNetViP: A Lagrangian Neural Network for Video Prediction 2020 Christine Allen-Blanchette
Sushant Veer
Anirudha Majumdar
Naomi Ehrich Leonard
2
+ Recent advances in trust region algorithms 2015 Ya-xiang Yuan
2
+ PDF Chat On the Linear Convergence of Descent Methods for Convex Essentially Smooth Minimization 1992 Zhi‐Quan Luo
Paul Tseng
2
+ Lagrangian Neural Networks 2020 Miles Cranmer
Sam Greydanus
Stephan Hoyer
Peter Battaglia
David N. Spergel
Shirley Ho
2
+ PDF Chat Disciplined multi-convex programming 2017 Xinyue Shen
Steven Diamond
Madeleine Udell
Yuantao Gu
Stephen Boyd
2
+ Interior-Point Polynomial Algorithms in Convex Programming 1994 Yurii Nesterov
Arkadi Nemirovski
2
+ An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control 2013 Panagiotis Patrinos
Alberto Bemporad
2
+ Trust Region Policy Optimization 2015 John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
2
+ PDF Chat Distributed control of positive systems 2011 Anders Rantzer
2
+ Generative Adversarial Imitation Learning 2016 Jonathan Ho
Stefano Ermon
2
+ Successive Convexification: A Superlinearly Convergent Algorithm for Non-convex Optimal Control Problems 2018 Yuanqi Mao
Michael Szmuk
Xiangru Xu
Behçet Açıkmeşe
2
+ PDF Chat Adaptive restart of accelerated gradient methods under local quadratic growth condition 2019 Olivier Fercoq
Zheng Qu
2
+ PDF Chat A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems 2018 Jaime F. Fisac
Anayo K. Akametalu
Melanie N. Zeilinger
Shahab Kaynama
Jeremy Gillula
Claire J. Tomlin
2
+ PDF Chat Switched Linear Systems Meet Markov Decision Processes: Stability Guaranteed Policy Synthesis 2019 Bo Wu
Murat Cubuktepe
Ufuk Topcu
2
+ PDF Chat Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs 2022 Franck Djeumou
Cyrus Neary
Éric Goubault
Sylvie Putot
Ufuk Topcu
2
+ PDF Chat Fastest Mixing Markov Chain on a Graph 2004 Stephen Boyd
Persi Diaconis
Lin Xiao
1
+ Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues 2000 John Odentrantz
1
+ Leader-Enabled Deployment Onto Planar Curves: A PDE-Based Approach 2010 Paul Frihauf
Miroslav Krstić
1
+ Proceedings of the 24th international conference on Machine learning 2007 John Langford
Joëlle Pineau
1
+ PDF Chat SAT-Based Synthesis Methods for Safety Specs 2014 Roderick Bloem
Robert Könighofer
Martina Seidl
1
+ PDF Chat Eigenvalue Bounds on Convergence to Stationarity for Nonreversible Markov Chains, with an Application to the Exclusion Process 1991 James Allen Fill
1
+ PDF Chat Lipschitz optimisation for Lipschitz Interpolation 2017 Jan-Peter Calliess
1
+ PDF Chat Runtime enforcement of reactive systems using synchronous enforcers 2017 Srinivas Pinisetty
Partha S. Roop
Steven Smyth
Stavros Tripakis
Reinhard von Hanxleden
1
+ PDF Chat Linearly Parameterized Bandits 2010 Paat Rusmevichientong
John N. Tsitsiklis
1
+ PDF Chat Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs 2016 Jérôme Bolte
Edouard Pauwels
1
+ Environment-Independent Task Specifications via GLTL 2017 Michael L. Littman
Ufuk Topcu
Jie Fu
Charles L. Isbell
Min Wen
James MacGlashan
1
+ High-Dimensional Continuous Control Using Generalized Advantage Estimation 2015 John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
1