Emilio Dorigatti

18 papers A 4C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Enhancing Multi-Epitope Vaccine Effectiveness Through State-of-the-Art Proteasomal Cleavage Prediction With Deep Learning.
BIBM
Ingo Ziegler, Bolei Ma, Bernd Bischl, Benjamin Schubert, Emilio Dorigatti
2025 A conf
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling.
AISTATS
Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Matteo Wohlrapp, Emilio Dorigatti, Carla Feistner, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr
2024 A conf
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
UAI
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
2024 J jnl
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
CoRR
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
2023 J jnl
Approximate Bayes Optimal Pseudo-Label Selection.
CoRR
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
2023 A conf
Approximately Bayes-optimal pseudo-label selection.
UAI
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
2023 A conf
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks.
AISTATS
Emilio Dorigatti, Benjamin Schubert, Bernd Bischl, David Rügamer
2023 C conf
Neural Architecture Search for Genomic Sequence Data.
CIBCB
Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder
2022 J jnl
Improved proteasomal cleavage prediction with positive-unlabeled learning.
CoRR
Emilio Dorigatti, Bernd Bischl, Benjamin Schubert
2022 — conf
Joint Debiased Representation Learning and Imbalanced Data Clustering.
ICDM (Workshops)
Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
2022 J jnl
Joint Debiased Representation and Image Clustering Learning with Self-Supervision.
CoRR
Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei
2022 J jnl
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection.
CoRR
Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl
2022 J jnl
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.
CoRR
Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei
2021 J jnl
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany.
CoRR
Cornelius Fritz, Emilio Dorigatti, David Rügamer
2021 J jnl
Learning Statistical Representation with Joint Deep Embedded Clustering.
CoRR
Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
2020 J jnl
Graph-theoretical formulation of the generalized epitope-based vaccine design problem.
PLoS Comput. Biol.
Emilio Dorigatti, Benjamin Schubert
2020 J jnl
Joint epitope selection and spacer design for string-of-beads vaccines.
Bioinform.
Emilio Dorigatti, Benjamin Schubert
2018 J jnl
N-ary relation extraction for simultaneous T-Box and A-Box knowledge base augmentation.
Semantic Web
Marco Fossati, Emilio Dorigatti, Claudio Giuliano