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42 Results
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Poster
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Wed 14:00 |
Deep Latent State Space Models for Time-Series Generation Linqi Zhou · Michael Poli · Winnie Xu · Stefano Massaroli · Stefano Ermon |
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Workshop
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Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic · Roger Waleffe · Vasileios Mageirakos · Konstantinos Nikolakakis · Amin Karbasi · Dionysios Kalogerias · Nezihe Merve Gürel · Theodoros Rekatsinas |
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Poster
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Tue 17:00 |
Feature Programming for Multivariate Time Series Prediction Alex Reneau · Jerry Yao-Chieh Hu · Ammar Gilani · Han Liu |
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Oral
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Thu 18:08 |
Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan · Hao Wang |
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Poster
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Tue 14:00 |
Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan · Hao Wang |
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Workshop
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Interpreting deep embeddings for disease progression clustering Anna Munoz-Farre · Antonios Poulakakis-Daktylidis · Dilini Kothalawala · Andrea Rodriguez-Martinez |
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Workshop
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Generating Explanations to understand Fatigue in Runners Using Time Series Data from Wearable Sensors Bahavathy Kathirgamanathan · Padraig Cunningham |
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Workshop
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Towards an Efficient Algorithm for Time Series Forecasting with Anomalies Hao Cheng · Qingsong Wen · Yang Liu · Liang Sun |
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Workshop
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Taylorformer: Probabalistic Modelling for Random Processes including Time Series Omer Nivron · Raghul Parthipan · Damon Wischik |
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Poster
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Wed 14:00 |
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time Toon Vanderschueren · Alicia Curth · Wouter Verbeke · Mihaela van der Schaar |
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Poster
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Thu 16:30 |
Learning Perturbations to Explain Time Series Predictions Joseph Enguehard |
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Workshop
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HINT: Hierarchical Coherent Networks For Constrained Probabilistic Forecasting Kin Gutierrez · David Luo · Cristian Challu · Stefania La Vattiata · Max Mergenthaler Canseco · Artur Dubrawski |