Borjan Geshkovski

According to our database, Borjan Geshkovski authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Kinetic theory for Transformers and the lost-in-the-middle phenomenon.

Mitia Duerinckx, Borjan Geshkovski, Stefano Rossi

CoRR, May, 2026

Homogenized Transformers.

Hugo Koubbi, Borjan Geshkovski, Philippe Rigollet

CoRR, April, 2026

Constructive conditional normalizing flows.

Borjan Geshkovski, Domènec Ruiz-Balet

CoRR, February, 2026

Perceptrons and localization of attention's mean-field landscape.

Antonio Álvarez-López, Borjan Geshkovski, Domènec Ruiz-Balet

CoRR, January, 2026

2024

Measure-to-measure interpolation using Transformers.

Borjan Geshkovski, Philippe Rigollet, Domènec Ruiz-Balet

CoRR, 2024

Dynamic metastability in the self-attention model.

Borjan Geshkovski, Hugo Koubbi, Yury Polyanskiy, Philippe Rigollet

CoRR, 2024

2023

Sparsity in long-time control of neural ODEs.

Carlos Esteve Yagüe, Borjan Geshkovski

Syst. Control. Lett., February, 2023

A mathematical perspective on Transformers.

Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet

CoRR, 2023

The emergence of clusters in self-attention dynamics.

Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Turnpike in optimal control of PDEs, ResNets, and beyond.

Borjan Geshkovski, Enrique Zuazua

Acta Numer., May, 2022

Optimal Actuator Design via Brunovsky's Normal Form.

Borjan Geshkovski, Enrique Zuazua

IEEE Trans. Autom. Control., 2022

2021

Controllability of One-Dimensional Viscous Free Boundary Flows.

Borjan Geshkovski, Enrique Zuazua

SIAM J. Control. Optim., 2021

Sparse approximation in learning via neural ODEs.

Carlos Esteve Yagüe, Borjan Geshkovski

CoRR, 2021

2020

Turnpike in Lipschitz-nonlinear optimal control.

Carlos Esteve, Borjan Geshkovski, Dario Pighin, Enrique Zuazua

CoRR, 2020

Large-time asymptotics in deep learning.

Carlos Esteve, Borjan Geshkovski, Dario Pighin, Enrique Zuazua

CoRR, 2020