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Found 3 papers, 1 papers with code
Induced Generative Adversarial Particle Transformers
In high energy physics (HEP), machine learning methods have emerged as an effective way to accurately simulate particle collisions at the Large Hadron Collider (LHC).
LEAP Submission for the Third DIHARD Diarization Challenge
This paper describes the challenge submission, the post-evaluation analysis and improvements observed on the DIHARD-III dataset.
The Third DIHARD Diarization Challenge
DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise conditions, and conversational domain.
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