SiG-DML-P3: Learning Methods and Applications
Wed, 2 Sep, 10:30 - 12:30 Belgium Time (UTC +2)
Location: Balcony II West
Session Type: Poster
Track: SiG-DML - Signal and Data Analytics for Machine Learning

SiG-DML-P3.1: On Model Selection For High-Dimensional Differential Graph Learning
Jitendra Tugnait, Auburn University, United States

SiG-DML-P3.2: EFFICIENT CONFORMAL PREDICTION FOR REGRESSION MODELS UNDER LABEL NOISE
Yahav Cohen, Jacob Goldberger, Tom Tirer, Bar-Ilan University, Israel

SiG-DML-P3.3: VALLEYCAST: MULTI-SOURCE ENVIRONMENTAL LSTM MODELING FOR EARLY WARNING OF VALLEY FEVER
Jiaqi Li, University of Chicago, United States; Mario Bañuelos, California State University, Fresno, United States; David Uminsky, University of Chicago, United States

SiG-DML-P3.4: EFFICIENT OUT-OF-DISTRIBUTION DETECTION USING SUBCLASS-AWARE RADIAL BASIS FUNCTION NEURONS
Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece

SiG-DML-P3.5: Robust Graph Neural Networks under Quantization and Adversarial Attacks
Leila Ben Saad, University of South-Eastern Norway, Norway; Rym Hicheri, Norwegian Defence Cyber Academy, Norway

SiG-DML-P3.6: AN MBRL ALGORITHM FOR TARGET TRACKING IN RADAR-JAMMER NETWORK CONFRONTATION SCENARIO
Ziang Wang, Lei Wang, Yimin Liu, Tsinghua University, China

SiG-DML-P3.7: ANNOTATION-EFFICIENT INTER-SPECIES DEEP LEARNING-BASED PLANT PHENOTYPING USING TEMPORAL TRAJECTORIES
Félix Mercier, Université d'Angers, France; Angelina El Ghaziri, Nizar Bouhlel, Institut Agro Rennes-Angers, France; David Rousseau, Université d’Angers, France

SiG-DML-P3.8: DIFFUSION-BASED SCENARIO TREE GENERATION FOR MULTIVARIATE TIME SERIES PREDICTION AND MULTISTAGE STOCHASTIC OPTIMIZATION
Stelios Zarifis, HERON - Hellenic Robotics Center of Excellence, Greece; Ioannis Kordonis, National Technical University of Athens, Greece; Petros Maragos, HERON - Hellenic Robotics Center of Excellence, Greece

SiG-DML-P3.9: FieldFormer: Self-Supervised Reconstruction of Physical Fields via Tensor Attention Prior
Panqi Chen, Siyuan Li, Cheng Lei, Zhejiang University, China; Xiao Fu, Oregon State University, United States; Yik-Chung Wu, The University of Hong Kong, China; Sergios Theodoridis, National and Kapodistrian University of Athens, Greece

SiG-DML-P3.10: Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
Sergio Rozada, Universidad Rey Juan Carlos, Spain; Hoi-To Wai, The Chinese University of Hong Kong, China; Antonio Marques, Universidad Rey Juan Carlos, Spain