TU1.PA1: Signal and Data Analytics for Machine Learning - I
Tue, 27 Aug, 11:00 - 13:00 France Time (UTC +1)
Location: Poster Area 1
Session Type: Poster
Session Chair: Arnaud Breloy, Conservatoire National des Arts et Metiers (CNAM)
Track: SiG-DML - Signal and Data Analytics for Machine Learning

TU1.PA1.1: A hybrid Machine Learning unmixing method for gamma-spectrometry
Dinh Triem Phan, Jérôme Bobin, Cheick Thiam, Christophe Bobin, Commissariat à l'énergie atomique (CEA), France

TU1.PA1.2: RED-PhaseCut: A Variational Sampler using Diffusion Model for Fourier Phase Retrieval
Eunju Cha, Sookmyung Women’s University, Korea (South)

TU1.PA1.3: DEEP UNROLLING OF ROBUST PCA AND CONVOLUTIONAL SPARSE CODING FOR STATIONARY TARGET LOCALIZATION IN THROUGH WALL RADAR IMAGING
Hugo Brehier, CentraleSupélec, Université Paris-Saclay, France; Arnaud Breloy, Conservatoire National des Arts et Métiers, France; Chengfang Ren, CentraleSupélec, Université Paris-Saclay, France; Guillaume Ginolhac, Université Savoie Mont-Blanc, France

TU1.PA1.4: An improved tabular data generator with VAE-GMM integration
Patricia A. Apellániz, Juan Parras, Santiago Zazo, Universidad Politécnica de Madrid, Spain

TU1.PA1.5: Quantization-aware Training for Multi-Agent Reinforcement Learning
Nikolaos Chandrinos, Michalis Amasialidis, Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Dept. of Informatics, Aristotle University of Thessaloniki, Greece, Greece

TU1.PA1.6: Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge
John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris, Centre for Research & Technology Hellas, Greece

TU1.PA1.7: FAST DECONVOLUTION USING A COMBINATION OF RICHARDSON-LUCY ITERATIONS AND DIFFUSION REGULARIZATION
Thibaut Modrzyk, Voichita Maxim, Ane Etxebeste, INSA-Lyon, France; Elie Bretin, INSA de Lyon, France

TU1.PA1.8: Continuous wavelet transform based variable projection networks
Attila Miklós Ámon, Eötvös Loránd University, Department of Numerical Analysis, Hungary; Kristian Fenech, Péter Kovács, Eötvös Loránd University, Hungary; Tamás Gábor Dózsa, HUN-REN Institute for Computer Science and Control, Hungary

TU1.PA1.9: DIGCE: DIFFUSION MODEL WITH GRU-BASED CONDITIONAL ENCODER FOR FRI SIGNAL RECONSTRUCTION
Junfeng Cheng, Yingkai Yang, Tania Stathaki, Imperial College London, United Kingdom

TU1.PA1.10: Self-Supervised Transmission Waveform Learning for Ultrafast Pulse-Echo Ultrasound Imaging with Sparse Reconstruction
Ozan Cakiroglu, Eduardo Pérez, Florian Roemer, Fraunhofer Institute for Non-Destructive Testing IZFP, Germany; Martin Schiffner, Ruhr-University Bochum, Germany

TU1.PA1.11: NETWORK INFERENCE FROM HEAT DIFFUSION DYNAMICS
Santosh Nannuru, Ashuthosh Bharadwaj, IIIT Hyderabad, India

TU1.PA1.12: R2D2 IMAGE RECONSTRUCTION WITH MODEL UNCERTAINTY QUANTIFICATION IN RADIO ASTRONOMY
Amir Aghabiglou, Chung San Chu, Arwa Dabbech, Yves Wiaux, Heriot-watt university, United Kingdom