1 citations · 1 across the 7 of their papers we have counts for
7 papers
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning
Zuheng Kang, Yayun He, Jianzong Wang +2
Single-model systems often suffer from deficiencies in tasks such as speaker verification (SV) and image classification, relying heavily on partial prior knowledge during decision-…
Photon-triggered jets as probes of multi-stage jet modification
C. Sirimanna, Y. Tachibana, A. Angerami +50
Prompt photons are created in the early stages of heavy ion collisions and traverse the QGP medium without any interaction. Therefore, photon-triggered jets can be used to study th…
Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE
R. Ehlers, A. Angerami, R. Arora +50
The JETSCAPE Collaboration reports the first multi-messenger study of the QGP jet transport parameter using Bayesian inference, incorporating all available hadron and jet…
3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions
Andi Mankolli, Aaron Angerami, Ritu Arora +48
Considerable information about the early-stage dynamics of heavy-ion collisions is encoded in the rapidity dependence of measurements. To leverage the large amount of experimental…
VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model
Yayun He, Zuheng Kang, Jianzong Wang +2
Speaker verification (SV) performance deteriorates as utterances become shorter. To this end, we propose a new architecture called VoiceExtender which provides a promising solution…
A multistage framework for studying the evolution of jets and high- probes in small collision systems
Abhijit Majumder, Aaron Angerami, Ritu Arora +48
Understanding the modification of jets and high- probes in small systems requires the integration of soft and hard physics. We present recent developments in extending the JET…