Cesare Alippi

19 papers · 2016–2026 · 6 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird

🌍 Conference Polyglot (6) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🏆 Grand Slam 🧬 Topic Evolution 🗃️ Keyword Collector (59) 💎 Century Club (18) 🔥 Unstoppable (6)

Conferences

ICML (6) NIPS (4) ICLR (3) AAAI (2) IJCAI (2) JMLR (2)

Top co-authors

Andrea Cini (9) Daniele Zambon (8) Ivan Marisca (5) Filippo Maria Bianchi (4) Daniele Grattarola (3) Danilo Mandic (2) Lorenzo Livi (2) Giacomo Boracchi (1) Marcello Restelli (1) Alessio Gravina (1)

Keywords

graph neural network (7) spatiotemporal forecasting (3) time series (2) node embedding (2) probabilistic inference (1) function approximation (1) vision transformer (1) graph representation learning (1) temporal dynamics (1) knowledge distillation (1) class-incremental learning (1) graph structure (1) community detection (1) time series prediction (1) graph embedding (1) attention mechanism (1) message passing (1) distance preservation (1) temporal-difference learning (1) graph learning (1)

Papers

Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026 Learning Latent Graph Structures and their Uncertainty ICML 2025 Relational Conformal Prediction for Correlated Time Series ICML 2025 Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations ICLR 2024 Temporal Graph ODEs for Irregularly-Sampled Time Series IJCAI 2024 Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling ICML 2024 Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting ICML 2024 Taming Local Effects in Graph-based Spatiotemporal Forecasting NIPS 2023 Scalable Spatiotemporal Graph Neural Networks AAAI 2023 Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023 Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks ICLR 2022 AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NIPS 2022 Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations NIPS 2022 Learning Graph Cellular Automata NIPS 2021 Graph Edit Networks ICLR 2021 Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021 Spectral Clustering with Graph Neural Networks for Graph Pooling ICML 2020 Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020 Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss IJCAI 2016