Time | Authors | Title |
| 12:20 | Claudio Galliccio | Opening remarks |
| | |
| | Session on Physical Neural Networks |
| 12:30 | Kohei Nakajima | Physical reservoir computing |
| 13:00 | Iacopo Poli, Alessandro Cappelli, Julien Launay, Ruben Ohana | Adversarial Robustness through Analog Computing |
| 13:15 | Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk | Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops |
| 13:30 | Corey Lammie, Mostafa Rahimi Azghadi | Simulating In-Memory Memristive Deep Learning Systems |
| 13:40 | Diego Arguello Ron, Morteza Kamalian-Kopae, Sergei Turitsyn | Noise-Resistant Optical Implementation of Analogue Neural Networks |
| 13:50 | | Discussion/Break |
| | |
| | Session on Learning for hardware networks |
| 14:00 | Jolie Grollier | Equilibrium Propagation for Intrinsically Learning Hardware |
| 14:30 | Logan Wright, Tatsuhiro Onodera, Martin Stein, Tianyu Wang, Darren Schachter, Zoey Hu, Peter McMahon (15m) | Deep physical neural networks using in situ physics-aware training |
| 14:45 | Pietro Verzelli, Cesare Alippi, Lorenzo Livi | On the Role of Synchronization in Reservoir Computing |
| 14:55 | Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli | Towards Dynamically Modulated Reservoir Networks |
| 15:05 | Claudio Gallicchio, Alessio Micheli, Luca Silvestri | Phase Transition Adaptation in Reservoir Computing |
| 15:15 | | Discussion/Break |
| | |
| | Session on Photonic Neural Networks |
| 15:30 | Silvain Gigan | An Optical Random Machine for inference and training |
| 16:00 | Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James Lott, Daniel Brunner | A complete, parallel, and autonomous photonic neural network in a semiconductor multimode laser |
| 16:15 | Julian Bueno, Joshua Robertson, Matej Hejda, Antonio Hurtado | Photonic Recurrent Neural Networks using Reservoir Computing and Vertical Cavity Surface Emitting Lasers |
| 16:25 | Davide Pierangeli, Giulia Marcucci, Claudio Conti | Free-space photonic extreme learning machine |
| 16:35 | Joshua Robertson, Yahui Zhang, Matej Hejda, Juan Alanis, Julian Bueno, Shuiying Xiang, Antonio Hurtado | Neuromorphic Photonic Image Edge-Feature Detection with Spiking Laser Neurons |
| 16:45 | | Discussion/Break |
| | |
| | Session on Future Concepts |
| 17:00 | Tianyu Wang, Shi-Yuan Ma, Logan Wright, Tatsuhiro Onodera, Brian Richard, Peter McMahon | An Optical Neuromorphic Processor Using <1 Photon per Scalar Multiplication |
| 17:15 | Claudio Gallicchio | Reservoir Computing by Discretizing ODEs |
| 17:30 | Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano | Memory engineering using a reconfigurable deep reservoir architecture |
| 17:45 | | Discussion/Break |
