Dorigatti, Emilio

5 publications

AISTATS 2025 M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Matteo Wohlrapp, Emilio Dorigatti, Carla Feistner, Felix Drost, Daniele Scarcella, Lisa Helen Beer, Carsten Marr

UAI 2024 How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer

UAI 2023 Approximately Bayes-Optimal Pseudo-Label Selection Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin

AISTATS 2023 Frequentist Uncertainty Quantification in Semi-Structured Neural Networks Emilio Dorigatti, Benjamin Schubert, Bernd Bischl, David Ruegamer

NeurIPSW 2022 What Cleaves? Is Proteasomal Cleavage Prediction Reaching a Ceiling? Ingo Ziegler, Bolei Ma, Ercong Nie, Bernd Bischl, David Rügamer, Benjamin Schubert, Emilio Dorigatti