ARCH-COM Category Report: Continuous and hybrid systems with linear dynamics
M. Althoff, S. Bak, Z. Bao, M. Forets, G. Frehse, D. Freire, N. Kochdumper, Y. Li, S. Mitra, R. Ray, C. Schilling, S. Schupp, M. Wetzlinger, in:, EPiC Series in Computing, EasyChair, 2020, pp. 16–48.

ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics
L. Geretti, J. Alexandre Dit Sandretto, M. Althoff, L. Benet, A. Chapoutot, X. Chen, P. Collins, M. Forets, D. Freire, F. Immler, N. Kochdumper, D. Sanders, C. Schilling, in:, EPiC Series in Computing, EasyChair, 2020, pp. 49–75.

Multi-dimensional long-run average problems for vector addition systems with states
K. Chatterjee, T.A. Henzinger, J. Otop, in:, 31st International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.

A survey of bidding games on graphs
G. Avni, T.A. Henzinger, in:, 31st International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.

Formal methods with a touch of magic
P.A. Alamdari, G. Avni, T.A. Henzinger, A. Lukina, in:, Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design, TU Wien Academic Press, 2020, pp. 138–147.

WoodFisher: Efficient second-order approximation for neural network compression
S.P. Singh, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 18098–18109.

Lagrangian reachtubes: The next generation
S. Gruenbacher, J. Cyranka, M. Lechner, M.A. Islam, S.A. Smolka, R. Grosu, in:, Proceedings of the 59th IEEE Conference on Decision and Control, IEEE, 2020, pp. 1556–1563.

Learning representations for binary-classification without backpropagation
M. Lechner, in:, 8th International Conference on Learning Representations, ICLR, 2020.

How many bits does it take to quantize your neural network?
M. Giacobbe, T.A. Henzinger, M. Lechner, in:, International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature, 2020, pp. 79–97.

Dynamic resource allocation games
G. Avni, T.A. Henzinger, O. Kupferman, Theoretical Computer Science 807 (2020) 42–55.

Outside the box: Abstraction-based monitoring of neural networks
T.A. Henzinger, A. Lukina, C. Schilling, in:, 24th European Conference on Artificial Intelligence, IOS Press, 2020, pp. 2433–2440.

An SMT theory of fixed-point arithmetic
M. Baranowski, S. He, M. Lechner, T.S. Nguyen, Z. Rakamari, in:, Automated Reasoning, Springer Nature, 2020, pp. 13–31.

Neural circuit policies enabling auditable autonomy
M. Lechner, R. Hasani, A. Amini, T.A. Henzinger, D. Rus, R. Grosu, Nature Machine Intelligence 2 (2020) 642–652.

Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme
M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, Proceedings - IEEE International Conference on Robotics and Automation, IEEE, 2020, pp. 5446–5452.

Efficient reachability analysis of parametric linear hybrid systems with  time-triggered transitions
M. Forets, D. Freire, C. Schilling, in:, 18th ACM-IEEE International Conference on Formal Methods and Models for System Design, IEEE, 2020.

Reachability analysis of linear hybrid systems via block decomposition
S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, C. Schilling, in:, Proceedings of the International Conference on Embedded Software, 2020.

Reachability analysis of linear hybrid systems via block decomposition
S. Bogomolov, M. Forets, G. Frehse, K. Potomkin, C. Schilling, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39 (2020) 4018–4029.

All-pay bidding games on graphs
G. Avni, R. Ibsen-Jensen, J. Tkadlec, Proceedings of the AAAI Conference on Artificial Intelligence 34 (2020) 1798–1805.

Monitorability under assumptions
T.A. Henzinger, N.E. Sarac, in:, Runtime Verification, Springer Nature, 2020, pp. 3–18.

Refinement for structured concurrent programs
B. Kragl, S. Qadeer, T.A. Henzinger, in:, Computer Aided Verification, Springer Nature, 2020, pp. 275–298.