Stella, Lorenzo
- Chronos: Learning the Language of Time Series
2024/03/12 by Abdul Fatir Ansari, Ansari, Abdul Fatir, Lorenzo Stella +36 · 4 voices · 176 citations
Computer Science · Physics and Astronomy · #Time Series Analysis and Forecasting #Advanced Text Analysis Techniques #Historical Astronomy and Related Studies
- GluonTS: Probabilistic Time Series Models in Python
2019/06/12 by A. Alexandrov, Alexandrov, Alexander, Konstantinos Benidis +23 · 16 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Computational Physics and Python Applications #Stock Market Forecasting Methods
- Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
2023/01/11 by Puya Latafat, Latafat, Puya, Andreas Themelis +5 · 15 citations
Computer Science · Engineering · #65K05 #90C06 #90C25 #90C30 #90C47 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques
- A Simple and Efficient Algorithm for Nonlinear Model Predictive Control
2017/09/19 by Stella, Lorenzo, Themelis, Andreas, Sopasakis, Pantelis +1 · 7 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Douglas-Rachford Splitting: Complexity Estimates and Accelerated\n Variants
2014/07/24 by Panagiotis Patrinos, Patrinos, Panagiotis, Lorenzo Stella +3 · 5 citations
Computer Science · Engineering · Mathematics · #47H05 #65K05 #90C25 #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
- Proximal Gradient Algorithms: Applications in Signal Processing
2018/03/05 by Niccolò Antonello, Lorenzo Stella, Antonello, Niccolò +4 · 2 citations
Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #D.2 #FOS: Electrical engineering #FOS: Mathematics #G.1.6 #I.2 #Image and Signal Denoising Methods #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
- ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
2025/03/15 by Arango, Sebastian Pineda, Mercado, Pedro, Kapoor, Shubham +10 · 8 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models
2020/07/30 by Ayed, Fadhel, Stella, Lorenzo, Januschowski, Tim +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
2025/06/03 by Auer, Andreas, Parthipan, Raghul, Mercado, Pedro +5 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Chronos-2: From Univariate to Universal Forecasting
2025/10/17 by Ansari, Abdul Fatir, Shchur, Oleksandr, Küken, Jaris +20 · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- fev-bench: A Realistic Benchmark for Time Series Forecasting
2025/09/30 by Shchur, Oleksandr, Ansari, Abdul Fatir, Turkmen, Caner +5 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Deep Non-Parametric Time Series Forecaster
2023/12/22 by Syama Sundar Rangapuram, Jan Gasthaus, Rangapuram, Syama Sundar +11 · 1 citation
Computer Science · Decision Sciences · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting