Общедоступные статьи - Sebastian TschiatschekПодробнее...
39 статей доступны в некоторых источниках
Fake news detection in social networks via crowd signals
S Tschiatschek, A Singla, M Gomez Rodriguez, A Merchant, A Krause
Companion proceedings of the the web conference 2018, 517-524, 2018
Финансирование: Swiss National Science Foundation, European Commission
Guarantees for greedy maximization of non-submodular functions with applications
AA Bian, JM Buhmann, A Krause, S Tschiatschek
International conference on machine learning, 498-507, 2017
Финансирование: European Commission
Learning mixtures of submodular functions for image collection summarization
S Tschiatschek, RK Iyer, H Wei, JA Bilmes
Advances in neural information processing systems 27, 2014
Финансирование: Austrian Science Fund
Generalization in reinforcement learning with selective noise injection and information bottleneck
M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann
Neural Information Processing (NeurIPS), 2019
Финансирование: UK Engineering and Physical Sciences Research Council
On theoretical properties of sum-product networks
R Peharz, S Tschiatschek, F Pernkopf, P Domingos
Artificial Intelligence and Statistics, 744-752, 2015
Финансирование: Austrian Science Fund
Maximum margin Bayesian network classifiers
F Pernkopf, M Wohlmayr, S Tschiatschek
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 521-532, 2011
Финансирование: Austrian Science Fund
Noisy submodular maximization via adaptive sampling with applications to crowdsourced image collection summarization
A Singla, S Tschiatschek, A Krause
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Финансирование: Swiss National Science Foundation
Resource-efficient neural networks for embedded systems
W Roth, G Schindler, B Klein, R Peharz, S Tschiatschek, H Fröning, ...
arXiv preprint arXiv:2001.03048, 2020
Финансирование: Austrian Science Fund, German Research Foundation, European Commission
Selecting sequences of items via submodular maximization
S Tschiatschek, A Singla, A Krause
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Финансирование: Swiss National Science Foundation, European Commission
Exploring artificial intelligence for applications of drones in forest ecology and management
A Buchelt, A Adrowitzer, P Kieseberg, C Gollob, A Nothdurft, S Eresheim, ...
Forest Ecology and Management 551, 121530, 2024
Финансирование: Austrian Science Fund
On Bayesian Network Classifiers with Reduced Precision Parameters
S Tschiatschek, F Pernkopf
IEEE Transactions on Pattern Analysis & Machine Intelligence 4 (37), 774-785, 2015
Финансирование: Austrian Science Fund
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
S Tschiatschek, J Djolonga, A Krause
AISTATS, 2016
Финансирование: Swiss National Science Foundation, European Commission
Message scheduling methods for belief propagation
C Knoll, M Rath, S Tschiatschek, F Pernkopf
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
Финансирование: Austrian Science Fund
Integer Bayesian network classifiers
S Tschiatschek, K Paul, F Pernkopf
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
Финансирование: Austrian Science Fund
Variational Inference in Mixed Probabilistic Submodular Models
J Djolonga, S Tschiatschek, A Krause
NIPS, 2016
Финансирование: Swiss National Science Foundation, European Commission
Sum-Product Networks for Structured Prediction: Context-Specific Deep Conditional Random Fields
M Ratajczak, S Tschiatschek, F Pernkopf
Proc. Workshop on Learning Tractable Probabilistic Models 1, 1-10, 2014
Финансирование: Austrian Science Fund
Hybrid generative-discriminative training of Gaussian mixture models
W Roth, R Peharz, S Tschiatschek, F Pernkopf
Pattern recognition letters 112, 131-137, 2018
Финансирование: Austrian Science Fund, European Commission
Actively learning hemimetrics with applications to eliciting user preferences
A Singla, S Tschiatschek, A Krause
International Conference on Machine Learning, 412-420, 2016
Финансирование: Swiss National Science Foundation
Learning safety constraints from demonstrations with unknown rewards
D Lindner, X Chen, S Tschiatschek, K Hofmann, A Krause
International Conference on Artificial Intelligence and Statistics, 2386-2394, 2024
Финансирование: Swiss National Science Foundation, European Commission, Vienna Science and …
Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes
A Ghosh, S Tschiatschek, S Devlin, A Singla
International Conference on Artificial Intelligence in Education, 28-40, 2022
Финансирование: European Commission
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