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MLSP-P5: Deep Learning III

Session Type: Poster

Time: Wednesday, May 15, 08:30 - 10:30

Location: Poster Area G, East Landing, First Floor

Session Chair: John Hershey, Google

MLSP-P5.1: VARIATIONAL AND HIERARCHICAL RECURRENT AUTOENCODER

Jen-Tzung Chien; National Chiao Tung University

Chun-Wei Wang; National Chiao Tung University

MLSP-P5.2: DEEP LEARNING FOR MINIMAL-CONTEXT BLOCK TRACKING THROUGH SIDE-CHANNEL ANALYSIS

Louis Jensen; Boston University

Gavin Brown; Boston University

Xiao Wang; Boston University

Jacob Harer; Boston University

Sang Chin; Boston University

MLSP-P5.3: DEEP CONVOLUTIONAL ROBUST PCA WITH APPLICATION TO ULTRASOUND IMAGING

Regev Cohen; Technion

Yi Zhang; Tsinghua University

Oren Solomon; Technion

Daniel Toberman; Technion

Liran Taieb; Technion

Ruud JG van Sloun; Eindhoven University of Technology

Yonina C. Eldar; Technion

MLSP-P5.4: PIGMENT UNMIXING OF HYPERSPECTRAL IMAGES OF PAINTINGS USING DEEP NEURAL NETWORKS

Neda Rohani; Northwestern University

Emeline Pouyet; Northwestern University

Marc Walton; Northwestern University

Oliver Cossairt; Northwestern University

Aggelos Katsaggelos; Northwestern University

MLSP-P5.5: ATTENTION IN RECURRENT NEURAL NETWORKS FOR RANSOMWARE DETECTION

Rakshit Agrawal; University of California, Santa Cruz

Jack W. Stokes; Microsoft Research

Karthik Selvaraj; Microsoft Corporation

Mady Marinescu; Microsoft Corporation

MLSP-P5.6: DRAWING ORDER RECOVERY FOR HANDWRITING CHINESE CHARACTERS

Bocheng Zhao; Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, School of Computer and Control Engineering, University of Chinese Academy of Sciences

Minghao Yang; Laboratory of Pattern Recognition, Institute of Automation, CAS / CAS Center for Excellence in Brain Science and Intelligence Technology

Jianhua Tao; Laboratory of Pattern Recognition, Institute of Automation, CAS / CAS Center for Excellence in Brain Science and Intelligence Technology, CAS / School of Computer and Control Engineering, University of Chinese Academy of Sciences

MLSP-P5.7: DIRECT ESTIMATION OF WEIGHTS AND EFFICIENT TRAINING OF DEEP NEURAL NETWORKS WITHOUT SGD

Nima Dehmamy; Northeastern University

Neda Rohani; Northwestern University

Aggelos Katsaggelos; Northwestern University

MLSP-P5.8: DENOISING GRAVITATIONAL WAVES WITH ENHANCED DEEP RECURRENT DENOISING AUTO-ENCODERS

Hongyu Shen; University of Illinois at Urbana-Champaign

Daniel George; University of Illinois at Urbana-Champaign

E. A. Huerta; University of Illinois at Urbana-Champaign

Zhizhen Zhao; University of Illinois at Urbana-Champaign

MLSP-P5.9: DEEP SPLINE NETWORKS WITH CONTROL OF LIPSCHITZ REGULARITY

Shayan Aziznejad; École Polytechnique Fédérale de Lausanne

Michael Unser; École Polytechnique Fédérale de Lausanne