Deep Learning for Time Series Forecasting: Tutorial and Literature Survey von Benidis, Konstantinos, Rangapuram, Syama Sundar, Flunkert, Valentin, Wang, Yuyang, Maddix, Danielle, Turkmen, Caner, Gasthaus, Jan, Bohlke-Schneider, Michael, Salinas, David, Stella, Lorenzo, Aubet, François-Xavier, Callot, Laurent, Januschowski, Tim

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METHODS FOR SPARSE AND LOW-RANK RECOVERY UNDER SIMPLEX CONSTRAINTS von Li, Ping, Rangapuram, Syama Sundar, Slawski, Martin

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A Flexible Forecasting Stack von Januschowski, Tim, Wang, Yuyang, Gasthaus, Jan, Rangapuram, Syama, Türkmen, Caner, Zschiegner, Jasper, Stella, Lorenzo, Bohlke-Schneider, Michael, Maddix, Danielle, Benidis, Konstantinos, Alexandrov, Alexander, Faloutsos, Christos, Schelter, Sebastian

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Deep Learning for Time Series Forecasting: Tutorial and Literature Survey von Benidis, Konstantinos, Syama Sundar Rangapuram, Flunkert, Valentin, Wang, Yuyang, Maddix, Danielle, Turkmen, Caner, Gasthaus, Jan, Bohlke-Schneider, Michael, Salinas, David, Stella, Lorenzo, Francois-Xavier Aubet, Callot, Laurent, Januschowski, Tim

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Solving Recurrent MIPs with Semi-supervised Graph Neural Networks von Benidis, Konstantinos, Rosolia, Ugo, Rangapuram, Syama, Iosifidis, George, Paschos, Georgios

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Deep Non-Parametric Time Series Forecaster von Rangapuram, Syama Sundar, Gasthaus, Jan, Stella, Lorenzo, Flunkert, Valentin, Salinas, David, Wang, Yuyang, Januschowski, Tim

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Multivariate Time Series Forecasting with Latent Graph Inference von Satorras, Victor Garcia, Rangapuram, Syama Sundar, Januschowski, Tim

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Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization von Masserano, Luca, Ansari, Abdul Fatir, Han, Boran, Zhang, Xiyuan, Faloutsos, Christos, Mahoney, Michael W, Wilson, Andrew Gordon, Park, Youngsuk, Rangapuram, Syama, Maddix, Danielle C, Wang, Yuyang

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Adaptive Sampling for Probabilistic Forecasting under Distribution Shift von Masserano, Luca, Rangapuram, Syama Sundar, Kapoor, Shubham, Nirwan, Rajbir Singh, Park, Youngsuk, Bohlke-Schneider, Michael

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Neural Flows: Efficient Alternative to Neural ODEs von Biloš, Marin, Sommer, Johanna, Rangapuram, Syama Sundar, Januschowski, Tim, Günnemann, Stephan

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Solving Recurrent MIPs with Semi-supervised Graph Neural Networks von Benidis, Konstantinos, Rosolia, Ugo, Rangapuram, Syama, Iosifidis, George, Paschos, Georgios

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Chronos: Learning the Language of Time Series von Ansari, Abdul Fatir, Stella, Lorenzo, Turkmen, Caner, Zhang, Xiyuan, Mercado, Pedro, Shen, Huibin, Shchur, Oleksandr, Rangapuram, Syama Sundar, Arango, Sebastian Pineda, Kapoor, Shubham, Zschiegner, Jasper, Maddix, Danielle C, Wang, Hao, Mahoney, Michael W, Torkkola, Kari, Wilson, Andrew Gordon, Bohlke-Schneider, Michael, Wang, Yuyang

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Constrained 1-Spectral Clustering von Rangapuram, Syama Sundar, Hein, Matthias

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Methods for Sparse and Low-Rank Recovery under Simplex Constraints von Li, Ping, Rangapuram, Syama Sundar, Slawski, Martin

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Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization von Masserano, Luca, Ansari, Abdul Fatir, Boran Han, Zhang, Xiyuan, Faloutsos, Christos, Mahoney, Michael W, Andrew Gordon Wilson, Park, Youngsuk, Rangapuram, Syama, Maddix, Danielle C, Wang, Yuyang

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Towards Realistic Team Formation in Social Networks based on Densest Subgraphs von Rangapuram, Syama Sundar, Bühler, Thomas, Hein, Matthias

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Artificial intelligence system combining state space models and neural networks for time series forecasting von Januschowski, Tim, Rangapuram, Syama, Gasthaus, Jan Alexander, Seeger, Matthias, Stella, Lorenzo

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Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale von Seeger, Matthias, Rangapuram, Syama, Wang, Yuyang, Salinas, David, Gasthaus, Jan, Januschowski, Tim, Flunkert, Valentin

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Tight Continuous Relaxation of the Balanced $k$-Cut Problem von Rangapuram, Syama Sundar, Mudrakarta, Pramod Kaushik, Hein, Matthias

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GluonTS: Probabilistic Time Series Models in Python von Alexandrov, Alexander, Benidis, Konstantinos, Bohlke-Schneider, Michael, Flunkert, Valentin, Gasthaus, Jan, Januschowski, Tim, Maddix, Danielle C, Rangapuram, Syama, Salinas, David, Schulz, Jasper, Stella, Lorenzo, Türkmen, Ali Caner, Wang, Yuyang

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