Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm. - Luca Masserano; Tommaso Dorigo; Rafael Izbicki; Mikael Kuusela; Ann B. Lee (CoRR, 2022)

Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. - Luca Masserano; Tommaso Dorigo; Rafael Izbicki; Mikael Kuusela; Ann B. Lee (AISTATS, 2023)

Adaptive Sampling for Probabilistic Forecasting under Distribution Shift. - Luca Masserano; Syama Sundar Rangapuram; Shubham Kapoor; Rajbir-Singh Nirwan; Youngsuk Park; Michael Bohlke-Schneider (CoRR, 2023)

Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. - Luca Masserano; Alexander Shen 003; Michele Doro; Tommaso Dorigo; Rafael Izbicki; Ann B. Lee (ICML, 2024)

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. - Luca Masserano; Abdul Fatir Ansari; Boran Han; Xiyuan Zhang; Christos Faloutsos; Michael W. Mahoney; Andrew Gordon Wilson; Youngsuk Park; Syama Sundar Rangapuram; Danielle C. Maddix; Yuyang Wang 001 (CoRR, 2024)