Identifiability of links and nodes in multi-agent systems under the agreement protocol. - Mohammad Amin Rahimian; Amir Ajorlou; Rasul Tutunov; Amir G. Aghdam (ACC, 2013)

On convergence rate of Accelerated Dual Descent Algorithm. - Rasul Tutunov; Michael Zargham; Ali Jadbabaie (CDC, 2014)

On the Degree Distribution of Pólya Urn Graph Processes. - Rasul Tutunov; Haitham Bou-Ammar; Ali Jadbabaie; Eric Eaton (CoRR, 2014)

Fast, accurate second order methods for network optimization. - Rasul Tutunov; Haitham Bou-Ammar; Ali Jadbabaie (CDC, 2015)

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. - Haitham Bou-Ammar; Rasul Tutunov; Eric Eaton (ICML, 2015)

A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations. - Rasul Tutunov; Haitham Bou-Ammar; Ali Jadbabaie (CoRR, 2015)

An exact distributed newton method for reinforcement learning. - Rasul Tutunov; Haitham Bou-Ammar; Ali Jadbabaie (CDC, 2016)

Distributed lifelong reinforcement learning with sub-linear regret. - Rasul Tutunov; Julia El Zini; Haitham Bou-Ammar; Ali Jadbabaie (CDC, 2017)

Distributed Multitask Reinforcement Learning with Quadratic Convergence. - Rasul Tutunov; Dongho Kim; Haitham Bou-Ammar (NeurIPS, 2018)

Model-Based Stabilisation of Deep Reinforcement Learning. - Felix Leibfried; Rasul Tutunov; Peter Vrancx; Haitham Bou-Ammar (CoRR, 2018)

Distributed Newton Method for Large-Scale Consensus Optimization. - Rasul Tutunov; Haitham Bou-Ammar; Ali Jadbabaie (IEEE Trans. Autom. Control., 2019)

Derivative-Free & Order-Robust Optimisation. - Haitham Ammar; Victor Gabillon; Rasul Tutunov; Michal Valko (AISTATS, 2020)

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation. - Yaodong Yang 001; Rasul Tutunov; Phu Sakulwongtana; Haitham Bou-Ammar (AAMAS, 2020)

Compositional ADAM: An Adaptive Compositional Solver. - Rasul Tutunov; Minne Li; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Zhi Wang 001; Rasul Tutunov; Jianye Hao; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2020)

Efficient Semi-Implicit Variational Inference. - Vincent Moens; Hang Ren; Alexandre Maraval; Rasul Tutunov; Jun Wang 012; Haitham Ammar (CoRR, 2021)

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. - Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2021)

Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? - Antoine Grosnit; Alexander I. Cowen-Rivers; Rasul Tutunov; Ryan-Rhys Griffiths; Jun Wang 012; Haitham Bou-Ammar (J. Mach. Learn. Res., 2021)

BOiLS: Bayesian Optimisation for Logic Synthesis. - Antoine Grosnit; Cédric Malherbe; Rasul Tutunov; Xingchen Wan; Jun Wang 012; Haitham Bou-Ammar (DATE, 2022)

Optimistic Tree Searches for Combinatorial Black-Box Optimization. - Cédric Malherbe; Antoine Grosnit; Rasul Tutunov; Haitham Bou-Ammar; Jun Wang 012 (NeurIPS, 2022)

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. - Mohammad Asif Khan 001; Alexander I. Cowen-Rivers; Derrick-Goh-Xin Deik; Antoine Grosnit; Kamil Dreczkowski; Philippe A. Robert; Victor Greiff; Rasul Tutunov; Dany Bou-Ammar; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2022)

Self-consistent Gradient-like Eigen Decomposition in Solving Schrödinger Equations. - Xihan Li 001; Xiang Chen; Rasul Tutunov; Haitham Bou-Ammar; Lei Wang 198; Jun Wang 012 (CoRR, 2022)

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. - Alexandre Maraval; Matthieu Zimmer; Antoine Grosnit; Rasul Tutunov; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2022)

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Rasul Tutunov; Zhi Wang 001; Antoine Grosnit; Ryan-Rhys Griffiths; Alexandre Max Maraval; Jianye Hao; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (J. Artif. Intell. Res., 2022)

Lightweight Structural Choices Operator for Technology Mapping. - Antoine Grosnit; Matthieu Zimmer; Rasul Tutunov; Xing Li; Lei Chen 031; Fan Yang; Mingxuan Yuan; Haitham Bou-Ammar (DAC, 2023)

Online PCA in Converging Self-consistent Field Equations. - Xihan Li 001; Xiang Chen; Rasul Tutunov; Haitham Bou-Ammar; Lei Wang 198; Jun Wang 012 (NeurIPS, 2023)

Why Can Large Language Models Generate Correct Chain-of-Thoughts? - Rasul Tutunov; Antoine Grosnit; Juliusz Ziomek; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2023)

Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information. - Rasul Tutunov; Antoine Grosnit; Haitham Bou-Ammar (CoRR, 2025)

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving. - Matthieu Zimmer; Xiaotong Ji; Rasul Tutunov; Anthony Bordg; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2025)