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3D Technology Laboratories (United States)

United States

8 papers here94 citations across 8
fields
  • cs.LG4
  • cond-mat.mtrl-sci1
  • cs.AI1
  • cs.AR1
  • quant-ph1
ROR 03fffdr10OpenAlex

affiliations via OpenAlex

output
20202026
most citedRoadmap for Photonics with 2D Materials

74 citations

researchers with a paper here
  • Kazushi Mimura2 · h 9
  • Masato Okada2 profiles2 · h 3
  • Nicolas Labroche2 profiles2 · h 14
  • Satoshi Kako2 · h 4
  • T. Aonishi2 · h 15
  • Yoshihisa Yamamoto2 · h 7
  • A. Boltasseva1 · h 84
  • A. Costa1 · h 5
  • Á. Echarri1 · h 9
  • A. Gorlach1 · h 16
  • Alexey Chernikov1 · h 4
  • A. Manjavacas1 · h 5
collaborating institutions
  • The University of TokyoJP3 papers
  • ETH ZurichCH2 papers
  • Hiroshima City UniversityJP2 papers
  • Laboratoire d'Informatique Fondamentale et Appliquée de ToursFR2 papers
  • Stanford UniversityUS2 papers
  • Tokyo Institute of TechnologyJP2 papers
  • Aalto UniversityFI1 paper
  • Advanced Science Research CenterJP1 paper
  • Applied Photonics (United Kingdom)GB1 paper
  • ARC Centre of Excellence for Transformative Meta-Optical SystemsAU1 paper
  • Australian National UniversityAU1 paper
  • Barcelona Institute of Science and TechnologyES1 paper
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

Challenges of Explainability in Continual Learning for Time Series Forecasting

Quentin Besnard, Emmanuel Doumard, Nicolas Labroche +2

Deep learning models have shown strong potential for time series forecasting, yet their deployment in real-world environmental monitoring remains challenging due to non-stationary…

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