Abualia R. 2021. Role of hormones in nitrate regulated growth. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/10303
DOI: 10.15479/at:ista:10303

Hansen AH. 2021. Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration. Institute of Science and Technology Austria.
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DOI: 10.15479/at:ista:9962

Li L. 2021. Rapid cell growth regulation in Arabidopsis. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/10083
DOI: 10.15479/at:ista:10083

Schmid L. 2021. Evolution of cooperation via (in)direct reciprocity under imperfect information. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/10293
DOI: 10.15479/at:ista:10293

Schmid L, Shati P, Hilbe C, Chatterjee K. 2021. The evolution of indirect reciprocity under action and assessment generosity. Scientific Reports. 11(1), 17443.
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WoS: 000692406400018
PMID: 34465830

Schmid L, Chatterjee K, Hilbe C, Nowak MA. 2021. A unified framework of direct and indirect reciprocity. Nature Human Behaviour. 5(10), 1292–1302.
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PMID: 33986519

Semerádová H. 2021. Molecular mechanisms of the cytokinin-regulated endomembrane trafficking to coordinate plant organogenesis. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/10135
DOI: 10.15479/at:ista:10135

Agrawal N. 2021. Transition to turbulence and drag reduction in particle-laden pipe flows. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/9728
DOI: 10.15479/at:ista:9728

Hasani R, Lechner M, Amini A, Rus D, Grosu R. 2020. A natural lottery ticket winner: Reinforcement learning with ordinary neural circuits. Proceedings of the 37th International Conference on Machine Learning. ML: Machine LearningPMLR, PMLR, , 4082–4093.
LibreCat: https://research-explorer.ista.ac.at/record/10673

Lechner M. 2020. Learning representations for binary-classification without backpropagation. 8th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
LibreCat: https://research-explorer.ista.ac.at/record/10672

Mayer S. 2020. The free energy of a dilute two-dimensional Bose gas. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/7514
DOI: 10.15479/AT:ISTA:7514

Ölsböck K. 2020. The hole system of triangulated shapes. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/7460
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Hensel S, Rosati T. 2020. Modelled distributions of Triebel–Lizorkin type. Studia Mathematica. 252(3), 251–297.
LibreCat: https://research-explorer.ista.ac.at/record/9196
DOI: 10.4064/sm180411-11-2
WoS: 000558100500002
arXiv: 1709.05202

Tkadlec J. 2020. A role of graphs in evolutionary processes. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/7196
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Chatterjee K, Pavlogiannis A, Toman V. 2019. Value-centric dynamic partial order reduction. Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications. OOPSLA: Object-oriented Programming, Systems, Languages and Applications vol. 3, 124.
LibreCat: https://research-explorer.ista.ac.at/record/10190
DOI: 10.1145/3360550
arXiv: 1909.00989

Käfer K. 2019. The hippocampus and medial prefrontal cortex during flexible behavior. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/6825
DOI: 10.15479/AT:ISTA:6825

Seitner D, Uhse S, Gallei MC, Djamei A. 2018. The core effector Cce1 is required for early infection of maize by Ustilago maydis. Molecular Plant Pathology. 19(10), 2277–2287.
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Vukusi L. 2018. Charge sensing and spin relaxation times of holes in Ge hut wires. Institute of Science and Technology Austria.
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Tarrach T. 2016. Automatic synthesis of synchronisation primitives for concurrent programs. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/1130
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Sharmanska V. 2015. Learning with attributes for object recognition: Parametric and non-parametrics views. Institute of Science and Technology Austria.
LibreCat: https://research-explorer.ista.ac.at/record/1401
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