Large-time asymptotics in deep learning. - Carlos Esteve; Borjan Geshkovski; Dario Pighin; Enrique Zuazua (CoRR, 2020)

Turnpike in Lipschitz-nonlinear optimal control. - Carlos Esteve; Borjan Geshkovski; Dario Pighin; Enrique Zuazua (CoRR, 2020)

Sparse approximation in learning via neural ODEs. - Carlos Esteve Yagüe; Borjan Geshkovski (CoRR, 2021)

Controllability of One-Dimensional Viscous Free Boundary Flows. - Borjan Geshkovski; Enrique Zuazua (SIAM J. Control. Optim., 2021)

Optimal Actuator Design via Brunovsky's Normal Form. - Borjan Geshkovski; Enrique Zuazua (IEEE Trans. Autom. Control., 2022)

Turnpike in optimal control of PDEs, ResNets, and beyond. - Borjan Geshkovski; Enrique Zuazua (Acta Numer., 2022)

The emergence of clusters in self-attention dynamics. - Borjan Geshkovski; Cyril Letrouit; Yury Polyanskiy; Philippe Rigollet (NeurIPS, 2023)

A mathematical perspective on Transformers. - Borjan Geshkovski; Cyril Letrouit; Yury Polyanskiy; Philippe Rigollet (CoRR, 2023)

Sparsity in long-time control of neural ODEs. - Carlos Esteve Yagüe; Borjan Geshkovski (Syst. Control. Lett., 2023)

Dynamic metastability in the self-attention model. - Borjan Geshkovski; Hugo Koubbi; Yury Polyanskiy; Philippe Rigollet (CoRR, 2024)

Measure-to-measure interpolation using Transformers. - Borjan Geshkovski; Philippe Rigollet; Domènec Ruiz-Balet (CoRR, 2024)