Training hybrid neural networks with multimode optical nonlinearities using digital twins

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No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO

Andréa Serge Alfredo Miele, Daniil Pyatko, Caglar Gulcehre, Skander Moalla

Reinforcement learning (RL) is inherently rife with non-stationarity since the states and rewards the agent observes during training depend on its changing policy. Therefore, networks in deep RL must be capable of adapting to new observations and fitting n ...

2024

Photonic substrate preparation method and photonic waveguide preparation or fabrication method

Tobias Kippenberg, Zheru Qiu, Xinru Ji, Marta Divall

Photonic integrated circuit optical waveguide device preparation or fabrication method comprising providing a silicon substrate, depositing at least one copper gettering silicon nitride layer or material, depositing at least one optical waveguide cladding ...

2024

Piezoelectric actuation for integrated photonics

Tobias Kippenberg, Rui Ning Wang, Johann Emmeram Riemensberger, Anat Siddharth, Andrey Voloshin, Viacheslav Snigirev, Terence Albert Emile Blésin, Andrea Bancora, Vladimir Shadymov

Recent decades have seen significant advancements in integrated photonics, driven by improvements in nanofabrication technology. This field has been developed from integrated semiconductor lasers and low-loss waveguides to optical modulators, enabling the ...

Optica Publishing Group2024

Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression

Lenka Zdeborová, Florent Gérard Krzakala, Bruno Loureiro, Adrien Vandenbroucque, Lucas Andry Clarte, Guillaume Cyprien Dalle

We investigate popular resampling methods for estimating the uncertainty of statistical models, such as subsampling, bootstrap and the jackknife, and their performance in high-dimensional supervised regression tasks. We provide a tight asymptotic descripti ...

ACM2024

Dynamic Fourier ptychography with deep spatiotemporal priors

Michaël Unser, Pakshal Narendra Bohra

Fourier ptychography (FP) involves the acquisition of several low-resolution intensity images of a sample under varying illumination angles. They are then combined into a high-resolution complex-valued image by solving a phase-retrieval problem. The object ...

IOP Publishing Ltd2023

Neural-prior stochastic block model

Lenka Zdeborová, Odilon Marie Cyprien Duranthon

The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear additional information about the communities. Previous works modeled such data ...

2023