IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-10: Sparsity Aware Processing
Sun, 8 May, 23:00 - 23:45 China Time (UTC +8)
Sun, 8 May, 15:00 - 15:45 UTC
Location: Gather Area F
Session Chair: Anand Sarwate, Rutgers University
Track: Machine Learning for Signal Processing

MLSP-10.1: LEARNING TO SAMPLE FOR SPARSE SIGNALS
Satish Mulleti, Haiyang Zhang, Weizmann Institute of Science, Rehovot, Israel, Israel; Yonina C. Eldar, Weizmann Institute of Science, Israel

MLSP-10.2: MIXTURE MODEL AUTO-ENCODERS: DEEP CLUSTERING THROUGH DICTIONARY LEARNING
Alexander Lin, Demba Ba, Harvard University, United States of America; Andrew Song, Massachusetts Institute of Technology, United States of America

MLSP-10.3: EXPLORING THE EFFECT OF L0/L2 REGULARIZATION IN NEURAL NETWORK PRUNING USING THE LC TOOLKIT
Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán, UC Merced, United States of America

MLSP-10.4: DICTIONARY LEARNING WITH UNIFORM SPARSE REPRESENTATIONS FOR ANOMALY DETECTION
Paul Irofti, Cristian Rusu, Andrei Patrascu, University of Bucharest, Faculty of Mathematics and Computer Science, Research Center for Logic, Optimization and Security (LOS), Romania

MLSP-10.5: DATA-DRIVEN SPATIALLY DEPENDENT PDE IDENTIFICATION
Ruixian Liu, Michael Bianco, Peter Gerstoft, Bhaskar Rao, University of California, San Diego, United States of America

MLSP-10.6: SPARSITY IMPROVES UNSUPERVISED ATTRIBUTE DISCOVERY IN STYLEGAN
Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Lawrence Livermore National Laboratory, United States of America