Babak Rahmani - RankMe

14 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Debugging code world models. CoRR Babak Rahmani
2026	J	`jnl`	Learning State-Tracking from Code Using Linear RNNs. CoRR Julien Siems, Riccardo Grazzi, Kirill P. Kalinin, Hitesh Ballani, Babak Rahmani
2025	—	`conf`	Analog Optical Computing: Toward Sustainable Machine Learning Models and Beyond. ECOC 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
2025	J	`jnl`	Analog optical computer for AI inference and combinatorial optimization. Nat. 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
2025	A*	`conf`	Implicit Language Models are RNNs: Balancing Parallelization and Expressivity. ICML Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
2025	J	`jnl`	Implicit Language Models are RNNs: Balancing Parallelization and Expressivity. CoRR Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
2025	J	`jnl`	Training of physical neural networks. Nat. 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
2024	J	`jnl`	Training of Physical Neural Networks. CoRR 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
2023	J	`jnl`	Backpropagation-free Training of Deep Physical Neural Networks. CoRR Ali Momeni, Babak Rahmani, Matthieu Mallejac, Philipp del Hougne, Romain Fleury
2022	A*	`conf`	Natural image synthesis for the retina with variational information bottleneck representation. NeurIPS Babak Rahmani, Demetri Psaltis, Christophe Moser
2021	—	`conf`	Learning to See and Compute through Multimode Fibers. OFC Babak Rahmani, Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Damien Loterie, Eirini Kakkava, Navid Borhani, Demetri Psaltis, Christophe Moser
2021	J	`jnl`	Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media. CoRR Babak Rahmani, Demetri Psaltis, Christophe Moser
2020	J	`jnl`	Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media. Nat. Mach. Intell. Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser
2019	J	`jnl`	Multimode Fiber Projector. CoRR Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, Christophe Moser