Field dossier · from the corpus

Lossy compression

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

Full Resolution Image Compression with Recurrent Neural Networks

2017942 citationsDOI ↗

Tunable Asymmetric Transmission via Lossy Acoustic Metasurfaces

2017412 citationsDOI ↗

Broadband near-infrared metamaterial absorbers utilizing highly lossy metals

2016335 citationsDOI ↗

Optical absorbers based on strong interference in ultra‐thin films

2016296 citationsDOI ↗

Merged-Element Transmon

202037 citationsDOI ↗

Signals

5

Papers · in corpus

2.0k

Citations · corpus total

0.0%

Recent share · since 2024

2016–2020

Span · publication years

Who is doing the work

Center for Integrated NanotechnologiesUS2
National Institute of Standards and TechnologyUS1
University of WaterlooCA1
Harvard UniversityUS1
Huazhong University of Science and TechnologyCN1
University of Colorado BoulderUS1
Sandia National LaboratoriesUS1
Google (United States)US1

Most published researchers

Sung Jin Hwang1
George D. Toderici1
Joel Shor1
Michele Covell1
Nick Johnston1
David C. Minnen1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Optics3 Optoelectronics3 Infrared2 Metamaterial2 Artificial intelligence1 Entropy (arrow of time)1 Encoder1 Interference (communication)1 Artificial neural network1 Photovoltaic system1