SPTM-P6: Graph Signal Processing: Methods (II)
Poster
Tue, 5 May, 16:30 - 18:30
Location: Poster Area 41
Session Type: Poster
Track: Signal Processing Theory and Methods [TM]
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SPTM-P6.1: LEARNING GRAPHICAL MODELS UNDER LOW-RANK FACTOR ANALYSIS STRUCTURE
Rui Zhou, Shenzhen Research Institute of Big Data, China; Jiaxi Ying, The Hong Kong University of Science and Technology, Hong Kong; Wenqiang Pu, Licheng Zhao, Shenzhen Research Institute of Big Data, China; Wenjie Wang, Huawei Technologies Co., Ltd., Hong Kong

SPTM-P6.2: MÖBIUS FOURIER BASIS FOR DAGS WITH NONNEGATIVE EDGE WEIGHTS
Vedran Mihal, Markus Püschel, ETH Zurich, Switzerland

SPTM-P6.3: LEARNING LATENT SPACE FOR MULTI-ORDER / RESOLUTION GRAPH-REGULARIZED IMAGE DENOISER
Tam Thuc Do, Gene Cheung, York University, Canada

SPTM-P6.4: OPTIMAL QUASI-CLIQUE DETECTION VIA LASRY-LIONS DOUBLE ENVELOPES
Emmanouil Kariotakis, Alexander Bodard, Panagiotis Patrinos, Aritra Konar, KU Leuven, Belgium

SPTM-P6.5: CoVariance Filters and Neural Networks over Hilbert Spaces
Claudio Battiloro, Harvard Unversity, United States of America; Andrea Cavallo, Elvin Isufi, Delft University of Technology, Netherlands

SPTM-P6.6: Learning to Rotate Frames for Hyperbolic Graph Feature Extraction
Ziyan Zhao, Dongmian Zou, Duke Kunshan University, China

SPTM-P6.7: SCATTERING TRANSFORMS FOR HETEROPHILIC GRAPHS USING COMPLEMENTARY BASE FILTERS
Ayushman Raghuvanshi, Ram Samarth B B, Sundeep Prabhakar Chepuri, Indian Institute of Science, India

SPTM-P6.8: SHEAF LAPLACIAN LOCALIZATION FOR SUBGRAPH SIGNAL DIFFUSION
Purui Zhang, Wee Peng Tay, Bihan Wen, Nanyang Technological University, Singapore

SPTM-P6.9: Differential Privacy of Network Parameters from a System Identification Perspective
Andrew Campbell, Anna Scaglione, Cornell University, United States of America; Hang Liu, University of Macau, United States of America; Victor Elvira, University of Edinburgh, United States of America; Sean Peisert, Lawrence Berkeley National Lab, United States of America; Daniel Arnold, Lawrence Livermore National Lab, United States of America

SPTM-P6.10: BUILD WITH PRECISION: BOTTOM-UP INFERENCE OF LINEAR DAGS
Hamed Ajorlou, University of Rocehster, United States of America; Samuel Rey, King Juan Carlos University, Spain; Gonzalo Mateos, University of Rochester, United States of America; Geert Leus, Delft University of Technology, Netherlands; Antonio G. Marques, King Juan Carlos University, Spain

SPTM-P6.11: DYNAMIC SPIKE–AND–SLAB PARTICLE FILTERING FOR TOPOLOGY TRACKING
Mor Azoulay, Igal BILIK, Tirza Routtenberg, SCHOOL OF ECE, BEN-GURION UNIVERSITY OF THE NEGEV, Israel

SPTM-P6.12: LEARNING CONSISTENT CAUSAL ABSTRACTION NETWORKS
Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy

SPTM-P6.13: Graph-Aware Diffusion for Signal Generation
Sergio Rozada, King Juan Carlos University, Spain; Vimal Kumarasamy, Andrea Cavallo, Delft University of Technology, Netherlands; Antonio G. Marques, King Juan Carlos University, Spain; Hadi Jamali Rad, Elvin Isufi, Delft University of Technology, Netherlands

SPTM-P6.14: PRECISION NEURAL NETWORKS: JOINT GRAPH AND RELATIONAL LEARNING
Andrea Cavallo, Delft University of Technology, Netherlands; Samuel Rey, Antonio Marques, King Juan Carlos University, Spain; Elvin Isufi, Delft University of Technology, Netherlands

SPTM-P6.15: A Generative Model for Controllable Feature Heterophily in Graphs
Haoyu Wang, Johns Hopkins University, United States of America; Renyuan Ma, Yale University, United States of America; Gonzalo Mateos, University of Rochester, United States of America; Luana Ruiz, Johns Hopkins University, United States of America

SPTM-P6.16: SCALABLE ALGORITHMS FOR TREE CONNECTIVITY MAXIMIZATION
Reza Vafaee, Usman Khan, Boston College, United States of America