Publications associées à Topological hysteretic winding for temporal anti-lasing

Publications associées (16)

NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability

Alexandre Massoud Alahi, Krishna Kanth Nakka

The generation of transferable adversarial perturbations typically involves training a generator to maximize embedding separation between clean and adversarial images at a single mid-layer of a source model. In this work, we build on this approach and intr ...

IEEE2025

Non-Resonant Magnetic X-ray Scattering as a Probe of Ultrafast Molecular Spin-State Dynamics: An Ab Initio Theory

Zhaoheng Guo

With the advancement of high harmonic generation and X-ray free-electron lasers (XFELs) to the attosecond domain, the studies of the ultrafast electron and spin dynamics became possible. Yet, the methods for efficient control and measurement of the quantum ...

AMER CHEMICAL SOC2025

Graph Neural Networks With Adaptive Structures

Zepeng Zhang

Graph neural networks (GNNs) have made significant progress in various machine learning tasks. Despite their success, many existing GNN models are shown to be vulnerable to adversarial attacks, creating a stringent need to build robust GNN architectures. I ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2025

Bridging the Mode-Locked and Q-Switched Regimes in Fiber Lasers

Camille Sophie Brès, Jiaye Wu, Gang Wang

Mode-locking and Q-switching are two widely used pulsing techniques based on different mechanisms. In practice, both lasing regimes can be realized within the same laser system, while the current research on their transition dynamics presents challenges in ...

WILEY-V C H VERLAG GMBH2025

Intelligent and Self-Driving Microscopy of Protein Aggregation in Neurodegenerative Diseases

Khalid Ashraf Mohie Ibrahim

Neurodegenerative diseases, such as Alzheimer's, Parkinson's, and Huntington's, afflict tens of millions of patients worldwide. They are characterized by protein aggregation and progressive neuronal loss, leading to cognitive and motor impairments, and ult ...

EPFL2025

Broadband and high-gain traveling-wave optical parametric amplification in a gallium phosphide photonic integrated circuit

Tobias Kippenberg, Johann Emmeram Riemensberger, Nikolai Kuznetsov, Alisa Davydova, Alberto Nardi

We demonstrate continuous-wave parametric amplifier w ith a 1 40 n m gain bandwidth spanning the optical S,C, and L-bands and up to 25 dB off-chip net-gain in a dispersion engineered gallium phosphide-on-insulator (GaPOI) waveguide with up to 160 mW output ...

Institute of Electrical and Electronics Engineers Inc.2024

Individual nanostructures in an epsilon-near-zero material probed with 3D-sculpted light

Lisa Jutta Ackermann

Epsilon-near-zero (ENZ) materials, i.e., materials with a vanishing real part of the permittivity, have become an increasingly desirable platform for exploring linear and nonlinear optical phenomena in nanophotonic and on-chip environments. ENZ materials i ...

Optica Publishing Group2024

Real-time tracking of coherent oscillations of electrons in a nanodevice by photo-assisted tunnelling

Klaus Kern

Coherent collective oscillations of electrons excited in metallic nanostructures (localized surface plasmons) can confine incident light to atomic scales and enable strong light-matter interactions, which depend nonlinearly on the local field. Direct sampl ...

NATURE PORTFOLIO2024

Laser-Induced Forward Transfer of SU-8 Microdisks as Carriers of Metallic Microdevices

Jürgen Brugger, Giovanni Boero, Zhiwei Yang

Laser-induced forward transfer (LIFT) is a digital additive manufacturing technique that uses a pulsed laser to transfer various materials from a donor film to a receiver substrate placed in close proximity. In this work, we investigate the transfer of SU- ...

Institute of Electrical and Electronics Engineers2024

Distributed Machine Learning Targeting Embedded Systems for Epilepsy Detection

Saleh Baghersalimi

Epileptic seizure detection and monitoring is critical in healthcare, particularly for individuals requiring continuous oversight. Current methods, primarily based on electroencephalogram (EEG) technologies, face limitations due to their complexity in term ...

EPFL2024

NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata

Sabine Süsstrunk, Ehsan Pajouheshgar, Yitao Xu

Neural Cellular Automata (NCA) is a class of Cellular Automata where the update rule is parameterized by a neural network that can be trained using gradient descent. In this paper, we focus on NCA models used for texture synthesis, where the update rule is ...

MIT Press2024

Analysis of Large Market Data Using Neural Networks: A Causal Approach

Damir Filipovic, Negar Kiyavash, Marc-Aurèle Antoine Divernois

We develop a data-driven framework to identify the interconnections between firms using an information-theoretic measure. This measure generalizes Granger causality and is capable of detecting nonlinear relationships within a network. Moreover, we develop ...

2023

Physical origins of optical anisotropy in quantum-confined semiconductors: The roles of valence band mixing, transition broadening, and state filling

Elyahou Kapon, Alok Rudra, Mikhail Lazarev

We investigate experimentally and theoretically the impact of valence band mixing and spectrum of confined states on the polarization of light emitted from or absorbed by GaAs/AlGaAs semiconductor quantum dots and quantum wires with tailored heterostructur ...

AIP Publishing2023

Decision Learning and Adaptation Over Multi-Task Networks

Ali H. Sayed

This paper studies the operation of multi-agent networks engaged in multi-task decision problems under the paradigm of simultaneous learning and adaptation. Two scenarios are considered:one in which a decision must be taken among multiple states of nature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Powering rotary molecular motors with low-intensity near-infrared light

Lukas Pfeifer

Light-controlled artificial molecular machines hold tremendous potential to revolutionize molecular sciences as autonomous motion allows the design of smart materials and systems whose properties can respond, adapt, and be modified on command. One long-sta ...

AMER ASSOC ADVANCEMENT SCIENCE2020

Controlling and utilizing optical forces at the nanoscale with plasmonic antennas

Olivier Martin, Andrea Lovera

Plasmonic dipole antennas are powerful optical devices for many applications since they combine a high field enhancement with outstanding tunability of their resonance frequency. The field enhancement, which is mainly localized inside the nanogap between b ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011