Hüseyin Anıl Gündüz

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Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Philipp C. MünchResearch Associate, Harvard School of Public Health & Helmholtz Centre for Infection ResearchVerified email at hsph.harvard.edu
Alice Carolyn McHardyHelmholtz Centre for Infection Research, GermanyVerified email at helmholtz-hzi.de
Xiao-Yin ToHZI Braunschweig | LMU MunichVerified email at lmu.de
Mehmet Ozgur TurkogluPostdoc Agroscope, PhD ETH ZurichVerified email at geod.baug.ethz.ch
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichVerified email at ethz.ch
Alexander BeckerPhD student at ETH ZurichVerified email at ethz.ch
Curtis HuttenhowerDepartment of Biostatistics, Harvard School of Public HealthVerified email at hsph.harvard.edu
Ehsaneddin AsgariPostdoctoral Researcher, Helmholtz Center for Infection Research / VW Data:Lab / UC Berkeley Alum.Verified email at berkeley.edu
Emilio DorigattiPhD student, LMU MunichVerified email at stat.uni-muenchen.de
Mina RezaeiLMU MunichVerified email at stat.uni-muenchen.de

Hüseyin Anıl Gündüz

PhD Candidate, LMU Munich

Verified email at stat.uni-muenchen.de - Homepage

Machine Learning Bioinformatics


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FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation MO Turkoglu, A Becker, HA Gündüz, M Rezaei, B Bischl, RC Daudt, ... Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022	16	2022
A self-supervised deep learning method for data-efficient training in genomics HA Gündüz, M Binder, XY To, R Mreches, B Bischl, AC McHardy, ... Communications Biology 6, 928, 2023	5*	2023
Diversified ensemble of independent sub-networks for robust self-supervised representation learning A Vahidi, L Wimmer, HA Gündüz, B Bischl, E Hüllermeier, M Rezaei arXiv preprint arXiv:2308.14705, 2023	2	2023
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences HA Gündüz, S Giri, M Binder, B Bischl, M Rezaei 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023		2023
Neural Architecture Search for Genomic Sequence Data A Scheppach, HA Gündüz, E Dorigatti, PC Münch, AC McHardy, B Bischl, ... 2023 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2023		2023
Optimized model architectures for deep learning on genomic data HA Gündüz, R Mreches, J Moosbauer, G Robertson, XY To, E Franzosa, ...		2023
A platform for deep learning on (meta) genomic sequences R Mreches, XY To, HA Gündüz, J Moosbauer, S Klawitter, ZL Deng, ...		2023
Transformer Model for Genome Sequence Analysis N Hurmer, XY To, M Binder, HA Gündüz, PC Münch, R Mreches, ... NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022		2022

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