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Christian Heumann
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2020 – today
- 2024
- [i16]Samyajoy Pal, Christian Heumann:
Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models. CoRR abs/2403.12158 (2024) - 2023
- [j5]Linwei Li
, Paul-Amaury Matt, Christian Heumann:
Optimal liquidation of foreign currencies when FX rates follow a generalised Ornstein-Uhlenbeck process. Appl. Intell. 53(2): 1391-1404 (2023) - [j4]Humera Razzak, Christian Heumann:
Application of iterative hybrid MI approach to household survey data with complex dependence structures. Commun. Stat. Simul. Comput. 52(1): 229-246 (2023) - [c7]Esteban Garces Arias, Vallari Pai, Matthias Schöffel, Christian Heumann, Matthias Aßenmacher:
Automatic Transcription of Handwritten Old Occitan Language. EMNLP 2023: 15416-15439 - [c6]Philipp Koch, Gilary Vera Nuñez, Esteban Garces Arias, Christian Heumann, Matthias Schöffel, Alexander Häberlin, Matthias Aßenmacher:
A tailored Handwritten-Text-Recognition System for Medieval Latin. ALP@RANLP 2023: 103-110 - [i15]Cem Akkus, Luyang Chu, Vladana Djakovic, Steffen Jauch-Walser, Philipp Koch, Giacomo Loss, Christopher Marquardt, Marco Moldovan, Nadja Sauter, Maximilian Schneider, Rickmer Schulte, Karol Urbanczyk, Jann Goschenhofer, Christian Heumann, Rasmus Hvingelby, Daniel Schalk, Matthias Aßenmacher:
Multimodal Deep Learning. CoRR abs/2301.04856 (2023) - [i14]Fabian Obster
, Christian Heumann, Heidi Bohle, Paul M. Pechan:
Using interpretable boosting algorithms for modeling environmental and agricultural data. CoRR abs/2305.02699 (2023) - [i13]Ibrahim Tolga Öztürk, Rostislav Nedelchev, Christian Heumann, Esteban Garces Arias, Marius Roger, Bernd Bischl, Matthias Aßenmacher:
How Different Is Stereotypical Bias Across Languages? CoRR abs/2307.07331 (2023) - [i12]Matthias Aßenmacher, Nadja Sauter, Christian Heumann:
Classifying multilingual party manifestos: Domain transfer across country, time, and genre. CoRR abs/2307.16511 (2023) - [i11]Philipp Koch, Gilary Vera Nuñez, Esteban Garces Arias, Christian Heumann, Matthias Schöffel, Alexander Häberlin, Matthias Aßenmacher:
A tailored Handwritten-Text-Recognition System for Medieval Latin. CoRR abs/2308.09368 (2023) - [i10]Holger Löwe, Christian A. Scholbeck, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio:
fmeffects: An R Package for Forward Marginal Effects. CoRR abs/2310.02008 (2023) - [i9]Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher, Christian Heumann, Stephanie Thiemichen:
How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses. CoRR abs/2310.03031 (2023) - [i8]Christian A. Scholbeck, Julia Moosbauer, Giuseppe Casalicchio, Hoshin Gupta, Bernd Bischl, Christian Heumann:
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis. CoRR abs/2312.13234 (2023) - 2022
- [j3]Shahla Faisal, Christian Heumann:
Bootstrap inference for weighted nearest neighbors imputation. Commun. Stat. Simul. Comput. 51(6): 2842-2857 (2022) - [c5]Philipp Koch, Matthias Aßenmacher
, Christian Heumann:
Pre-trained language models evaluating themselves - A comparative study. Insights@ACL 2022: 180-187 - [c4]Elisabeth Lebmeier, Matthias Aßenmacher
, Christian Heumann
:
On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis. ECML/PKDD (2) 2022: 537-552 - [i7]Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann:
Marginal Effects for Non-Linear Prediction Functions. CoRR abs/2201.08837 (2022) - [i6]Linwei Li, Paul-Amaury Matt, Christian Heumann:
Forecasting Foreign Exchange Rates With Parameter-Free Regression Networks Tuned By Bayesian Optimization. CoRR abs/2204.12914 (2022) - 2021
- [c3]Matthias Aßenmacher
, Alessandra Corvonato, Christian Heumann:
Re-Evaluating GermEval17 Using German Pre-Trained Language Models. SwissText 2021 - [i5]Matthias Aßenmacher, Alessandra Corvonato, Christian Heumann:
Re-Evaluating GermEval17 Using German Pre-Trained Language Models. CoRR abs/2102.12330 (2021) - [i4]Patrick Schulze, Simon Wiegrebe, Paul W. Thurner, Christian Heumann, Matthias Aßenmacher, Sandra Wankmüller:
Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach. CoRR abs/2104.02496 (2021) - [i3]Matthias Aßenmacher, Patrick Schulze, Christian Heumann:
Benchmarking down-scaled (not so large) pre-trained language models. CoRR abs/2105.04876 (2021) - 2020
- [c2]Matthias Aßenmacher
, Christian Heumann:
On the Comparability of Pre-trained Language Models. SwissText/KONVENS 2020 - [i2]Matthias Aßenmacher, Christian Heumann:
On the comparability of Pre-trained Language Models. CoRR abs/2001.00781 (2020)
2010 – 2019
- 2019
- [c1]Christian A. Scholbeck, Christoph Molnar, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio
:
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations. PKDD/ECML Workshops (1) 2019: 205-216 - [i1]Christian A. Scholbeck, Christoph Molnar
, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio:
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations. CoRR abs/1904.03959 (2019) - 2014
- [j2]Michael Schomaker
, Christian Heumann:
Model selection and model averaging after multiple imputation. Comput. Stat. Data Anal. 71: 758-770 (2014) - 2011
- [r2]Christian Heumann:
James-Stein Estimator. International Encyclopedia of Statistical Science 2011: 699-701 - [r1]Christian Heumann:
Multiple Imputation. International Encyclopedia of Statistical Science 2011: 892-895 - 2010
- [j1]Michael Schomaker
, Alan T. K. Wan, Christian Heumann:
Frequentist Model Averaging with missing observations. Comput. Stat. Data Anal. 54(12): 3336-3347 (2010)
Coauthor Index
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