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Poster
Tue 14:00 Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
Xing Han · Sambarta Dasgupta · Joydeep Ghosh
Poster
Tue 18:30 Learning Temporal Point Processes with Intermittent Observations
Vinayak Gupta · Srikanta Bedathur · Sourangshu Bhattacharya · Abir De
Poster
Wed 6:00 Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu · Minghe Zhang · Ruyi Ding · Yao Xie
Poster
Wed 6:00 Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
Sandesh Adhikary · Siddarth Srinivasan · Jacob E Miller · Guillaume Rabusseau · Byron Boots
Poster
Wed 6:00 A Variational Inference Approach to Learning Multivariate Wold Processes
Jalal Etesami · William Trouleau · Negar Kiyavash · Matthias Grossglauser · Patrick Thiran
Poster
Wed 6:00 Differentiable Divergences Between Time Series
Mathieu Blondel · Arthur Mensch · Jean-Philippe Vert
Poster
Thu 7:30 Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
Manuel Haußmann · Sebastian Gerwinn · Andreas Look · Barbara Rakitsch · Melih Kandemir
Poster
Thu 7:30 Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
Jan Achterhold · Joerg Stueckler
Poster
Thu 7:30 Aligning Time Series on Incomparable Spaces
Samuel Cohen · Giulia Luise · Alexander Terenin · Brandon Amos · Marc Deisenroth