3.3k citations
- NTT Basic Research LaboratoriesJP437 papers
- The University of TokyoJP123 papers
- Japan Science and Technology AgencyJP95 papers
- National Institute of InformaticsJP60 papers
- The University of OsakaJP52 papers
- Tokyo Institute of TechnologyJP47 papers
- Kyoto UniversityJP39 papers
- Waseda UniversityJP28 papers
- Delft University of TechnologyNL25 papers
- Nagoya UniversityJP25 papers
- Stanford UniversityUS24 papers
- Tohoku UniversityJP24 papers
839 papers
Modeling of jitter correction methods for asynchronous optical sampling
Mayuri Nakagawa, Natsuki Kanda, Ryusuke Matsunaga
Timing jitter management is crucial in asynchronous optical sampling (ASOPS) and dual-comb spectroscopy to maintain spectral bandwidth and fidelity. However, a quantitative framewo…
Speech Signals Complement LLMs for Predicting Interpersonal Attraction in Speed Dating
Yuriko Kikuchi, Takato Hayashi, Ryusei Kimura +3
Large language models (LLMs) can predict interpersonal attraction from conversation transcripts, but it remains unclear what a speech predictor can add beyond transcript-only LLM p…
OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model
Agastya Raj, Venkata Virajit Garbhapu, Hiroyuki Ishihara +5
We present a DLM-anchored hybrid physics/ML framework for brownfield optical links that accurately predicts per-channel power, OSNR, and GSNR. Calibrating span/ILA boundaries via D…
Broadband High-Level Squeezed Light using Waveguide Optical Parametric Amplifiers with External Dispersion Compensation
Takumi Suzuki, Shotaro Oki, Kazuki Hirota +8
We demonstrate broadband phase-sensitive amplification (PSA) measurement of squeezed light generated by a waveguide optical parametric amplifier (OPA) with external dispersion comp…
Chunkwise Aligners for Streaming Speech Recognition
Wen Shen Teo, Takafumi Moriya, Masato Mimura
We propose the Chunkwise Aligner, a novel architecture for streaming automatic speech recognition (ASR). While the Transducer is the standard model for streaming ASR, its training…
Interpretable self-driving sputter epitaxy: from black-box optimization to human-usable growth rules
Yuki K. Wakabayashi, Yui Ogawa, Franz Benedict Romero +2
Self-driving laboratories have emerged as powerful tools for navigating high-dimensional process spaces, yet systems remain black-box optimizers that yield limited transferable pro…