Lorenzo Stella

4 papers · 2018–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) AISTATS (1) JMLR (1)

Top co-authors

Michael Bohlke-Schneider (3) Syama Sundar Rangapuram (3) Tim Januschowski (3) Danielle C. Maddix (2) Yuyang Wang (2) Jan Gasthaus (2) Konstantinos Benidis (2) Ali Caner Turkmen (2) Valentin Flunkert (1) Shubham Kapoor (1)

Research topics

Data Science & Analytics (3) Machine Learning (3) Methods (3) Artificial Intelligence (2) Deep Learning (2) Learning Types · Machine Learning (2) Bayesian & Probabilistic (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1)

Keywords

time series forecasting (3) deep learning (2) state space model (2) probabilistic forecasting (2) multivariate time series (1) probabilistic model (1) recurrent neural network (1) normalizing flow (1) pre-trained model (1) exogenous variable (1) synthetic dataset (1) neural network (1) probabilistic modeling (1) covariate information (1) transfer learning (1) anomaly detection (1) kalman filter (1)

Papers

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables AISTATS 2025 GluonTS: Probabilistic and Neural Time Series Modeling in Python JMLR 2020 Normalizing Kalman Filters for Multivariate Time Series Analysis NeurIPS 2020 Deep State Space Models for Time Series Forecasting NeurIPS 2018