Thu PM1.P: Learning from Sequential Data
Thu, 7 Sep, 14:00 - 15:40 Finland Time (UTC +3)
Location: Fennia Foyer
Session Type: Poster
Session Chair: Petar M. Djuric, STONY BROOK UNIVERSITY
Track: SiG-DML - Signal and Data Analytics for Machine Learning

Thu PM1.P.1: ACTIVE HYPOTHESIS TESTING IN UNKNOWN ENVIRONMENTS USING RECURRENT NEURAL NETWORKS AND MODEL FREE REINFORCEMENT LEARNING
George Stamatelis, Nicholas Kalouptsidis, National and Kapodistrian university of Athens, Greece

Thu PM1.P.2: Collaborative Regret Minimization for Piecewise-Stationary Multi-armed Bandit
Xiaotong Cheng, Setareh Maghsudi, University of Tübingen, Germany

Thu PM1.P.3: Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting
Anthony Frion, Lucas Drumetz, IMT Atlantique, France; Guillaume Tochon, EPITA, France; Mauro Dalla Mura, GIPSA-LAB, France; Abdeldjalil Aïssa El Bey, IMT Atlantique, France

Thu PM1.P.4: INTRADAY VOLATILITY-VOLUME JOINT MODELING AND FORECASTING: A STATE-SPACE APPROACH
Shengjie Xiu, Daniel Palomar, The Hong Kong University of Science and Technology, China

Thu PM1.P.5: DETECTING CONFOUNDERS IN MULTIVARIATE TIME SERIES USING STRENGTH OF CAUSATION
YUHAO LIU, Chen Cui, Daniel Waxman, Kurt Butler, Petar M. Djuric, STONY BROOK UNIVERSITY, United States

Thu PM1.P.6: STLFORMER: EXPLOIT STL DECOMPOSITION AND RANK CORRELATION FOR TIME SERIES FORECASTING
Zuokun OUYANG, Meryem JABLOUN, Philippe RAVIER, Univeristy of Orléans, France

Thu PM1.P.7: An Approach to Learning the Hierarchical Organization of the Frontal Lobe
Kurt Butler, Stony Brook University, United States; Duncan Cleveland, University of Wisconsin - Madison, United States; Charles Mikell, Sima Mofakham, Stony Brook University, United States; Yuri Saalmann, University of Wisconsin - Madison, United States; Petar Djuric, Stony Brook University, United States