Babak Rahmani

According to our database, Babak Rahmani authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learning State-Tracking from Code Using Linear RNNs.

Julien Siems, Riccardo Grazzi, Kirill P. Kalinin, Hitesh Ballani, Babak Rahmani

CoRR, February, 2026

Debugging code world models.

Babak Rahmani

CoRR, February, 2026

2025

Training of physical neural networks.

Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz, Francesco Morichetti, Philipp del Hougne, Manuel Le Gallo, Abu Sebastian, Azalia Mirhoseini, Cheng Zhang, Danijela Markovic, Daniel Brunner, Christophe Moser, Sylvain Gigan, Florian Marquardt, Aydogan Ozcan, Julie Grollier, Andrea J. Liu, Demetri Psaltis, Andrea Alù, Romain Fleury

Nat., September, 2025

Analog optical computer for AI inference and combinatorial optimization.

Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O'Shea, Lucinda Pickup, Saravan Rajmohan, Antony I. T. Rowstron, Victor Rühle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani

Nat., September, 2025

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity.

Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Analog Optical Computing: Toward Sustainable Machine Learning Models and Beyond.

Francesca Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Fabian Falck, Christos Gkantsidis, Jannes Gladrow, Kirill P. Kalinin, Douglas J. Kelly, Heiner Kremer, Babak Rahmani, Antony I. T. Rowstron

Proceedings of the European Conference on Optical Communications, 2025

2023

Backpropagation-free Training of Deep Physical Neural Networks.

Ali Momeni, Babak Rahmani, Matthieu Mallejac, Philipp del Hougne, Romain Fleury

CoRR, 2023

2022

Natural image synthesis for the retina with variational information bottleneck representation.

Babak Rahmani, Demetri Psaltis, Christophe Moser

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media.

Babak Rahmani, Demetri Psaltis, Christophe Moser

CoRR, 2021

Learning to See and Compute through Multimode Fibers.

Babak Rahmani, Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Damien Loterie, Eirini Kakkava, Navid Borhani, Demetri Psaltis, Christophe Moser

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020

Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media.

Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser

Nat. Mach. Intell., 2020

2019

Multimode Fiber Projector.

Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser

CoRR, 2019