Oral Presentations Program

Oral Presentations 1 (June 23, Thursday, 9:45 – 10:45)

Paper #	Authors	Paper Title
33	Stephen Tu, Alexander Robey, Tingnan Zhang and Nikolai Matni	On the Sample Complexity of Stability Constrained Imitation Learning
110	Amir Khazraei, Henry Pfister and Miroslav Pajic	Resiliency of Perception-Based Controllers Against Attacks
146	Saber Jafarpour, Matthew Abate, Alexander Davydov, Francesco Bullo and Samuel Coogan	Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach
7	Steven Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca and Amanda Prorok	Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors

Oral Presentations 2 (June 23, Thursday, 14:45 – 15:45)

Paper #	Authors	Paper Title
19	Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng and Jianyu Chen	Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
21	Samarth Sinha, Jiaming Song, Animesh Garg and Stefano Ermon	Experience Replay with Likelihood-free Importance Weights
40	Cameron R. Wolfe and Anastasios Kyrillidis	i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
51	Yuanhanqing Huang and Jianghai Hu	Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters

Oral Presentations 3 (June 24, Friday, 9:45 – 10:45)

Paper #	Authors	Paper Title
86	Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan and Giancarlo Ferrari-Trecate	Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach
140	Horia Mania, Ali Jadbabaie, Devavrat Shah and Suvrit Sra	Time varying regression with hidden linear dynamics
144	Riccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein and Jeroen Lamb	Structure-preserving time-reversible symplectic neural networks for learning dynamical systems
55	Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami and Barbara Rakitsch	Traversing Time with Multi-Resolution Gaussian Process State-Space Models

Oral Presentations 4 (June 24, Friday, 13:00-14:00)

Paper #	Authors	Paper Title
76	Weiming Zhi, Tin Lai, Lionel Ott and Fabio Ramos	Diffeomorphic Transforms for Generalised Imitation Learning
27	Simon Muntwiler, Kim P. Wabersich and Melanie N. Zeilinger	Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers
48	Miguel Jaques, Martin Asenov, Michael Burke and Timothy Hospedales	Vision-based system identification and 3D keypoint discovery using dynamics constraints
24	Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt and Justin Bayer	Tracking and Planning with Spatial World Models