Qualitative analysis of <9-regular objectives on robust MDPs
A. Asadi, K. Chatterjee, E. Goharshady, M. Karrabi, A. Shafiee, in:, Proceedings of the 40th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2026, pp. 36137–36145.

Revealing POMDPs: Qualitative and quantitative analysis for parity objectives
A. Asadi, K. Chatterjee, D. Lurie, R.J. Saona Urmeneta, in:, Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2026, pp. 36146–36154.

Fairness shields: Safeguarding against biased decision makers
F. Cano Cordoba, T.A. Henzinger, B. Könighofer, K. Kueffner, K. Mallik, in:, Proceedings of the 39th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 15659–15668.

Solving robust Markov decision processes: Generic, reliable, efficient
T. Meggendorfer, M. Weininger, P. Wienhöft, in:, Proceedings of the 39th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 26631–26641.

Quantified linear and polynomial arithmetic satisfiability via template-based skolemization
K. Chatterjee, E. Goharshady, M. Karrabi, H.J. Motwani, M. Seeliger, D. Zikelic, in:, Proceedings of the 39th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 11158–11166.

Neural control and certificate repair via runtime monitoring
E. Yu, D. Zikelic, T.A. Henzinger, in:, Proceedings of the 39th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 26409–26417.

Linear equations with min and max operators: Computational complexity
K. Chatterjee, R. Luo, R.J. Saona Urmeneta, J. Svoboda, in:, Proceedings of the 39th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, pp. 11150–11157.

Hybrid decentralized optimization: Leveraging both first- and zeroth-order optimizers for faster convergence
S. Talaei, M. Ansaripour, G. Nadiradze, D.-A. Alistarh, Proceedings of the 39th AAAI Conference on Artificial Intelligence 39 (2025) 20778–20786.

Scalable enumeration of trap spaces in boolean networks via answer set programming
G. Trinh, B. Benhamou, S. Pastva, S. Soliman, in:, Proceedings of the 38th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2024, pp. 10714–10722.

Learning control policies for stochastic systems with reach-avoid guarantees
D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 11926–11935.

GoTube: Scalable statistical verification of continuous-depth models
S.A. Gruenbacher, M. Lechner, R. Hasani, D. Rus, T.A. Henzinger, S.A. Smolka, R. Grosu, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 6755–6764.

Stability verification in stochastic control systems via neural network supermartingales
M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 7326–7336.

Risk-aware stochastic shortest path
T. Meggendorfer, in:, Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Association for the Advancement of Artificial Intelligence, 2022, pp. 9858–9867.

Scalable verification of quantized neural networks
T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.

Liquid time-constant networks
R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 7657–7666.

Asynchronous optimization methods for efficient training of deep neural networks with guarantees
V. Kungurtsev, M. Egan, B. Chatterjee, D.-A. Alistarh, in:, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, AAAI Press, 2021, pp. 8209–8216.

On the verification of neural ODEs with stochastic guarantees
S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S.A. Smolka, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 11525–11535.

A commentary on the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, in:, The 34th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–13684.

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.