Publications
A complete and up-to-date list is also available on Google Scholar.
- Preprint Kirill Brilliantov, Alejandro Hernández-Cano, and Emmanuel Abbé. "How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?" arXiv preprint arXiv:2609.40303, 2026. (arXiv | Apple Research)
- ICML Workshop Kirill Brilliantov, Etienne Bamas, and Emmanuel Abbé. "k-server-bench: Automating Potential Discovery for the k-Server Conjecture." 3rd AI for Math Workshop at ICML, 2026. (3rd AI for Math Workshop at ICML | arXiv | OpenReview)
- NeurIPS Kirill Brilliantov, Amauri H. Souza, and Vikas Garg. "Compositional PAC-Bayes: Generalization of GNNs with Persistence and Beyond." NeurIPS, 2024. (NeurIPS | OpenReview)
- Workshop Denis Tarasov, Kirill Brilliantov, and Dmitrii Kharlapenko. "Is Value Functions Estimation with Classification Plug-and-Play for Offline Reinforcement Learning?" Automated Reinforcement Learning Workshop, 2024. (arXiv | OpenReview)
- ICML Kirill Brilliantov, Fedor Pavutnitskiy, Dmitry Pasechnyuk, and German Magai. "Applying Language Models to Algebraic Topology: Generating Simplicial Cycles Using Multi-Labeling in Wu's Formula." ICML, 2024. (arXiv | OpenReview)
- AAAI Vasily Alferov, Ivan Bliznets, and Kirill Brilliantov. "Parameterization of (Partial) Maximum Satisfiability Above Matching in a Variable-Clause Graph." AAAI, 2024.
- AAAI Kirill Brilliantov, Vasily Alferov, and Ivan Bliznets. "Improved Algorithms for Maximum Satisfiability and Its Special Cases." AAAI, 2023. (Paper)