Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11388 

Tasciyan, S. (2022). Role of microenvironment heterogeneity in cancer cell invasion. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12401 

Wachner, S. (2022). Transcriptional regulation by Dfos and BMP-signaling support tissue invasion of Drosophila immune cells. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11193 

Dotter, C. (2022). Transcriptional consequences of mutations in genes associated with Autism Spectrum Disorder. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12094 

Elkrewi, M. N. (2022). Data from Elkrewi, Khauratovich, Toups et al. 2022, “ZW sex-chromosome evolution and contagious parthenogenesis in Artemia brine shrimp.”https://doi.org/10.15479/AT:ISTA:11653__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:11653 

Nardin, M., Käfer, K., &; Csicsvari, J. L. (n.d.). The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2021.09.30.462269 

Nardin, M., Phillips, J. W., Podlaski, W. F., &; Keemink, S. W. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. Peer Community Journal. Centre Mersennef; Peer Community In.https://doi.org/10.24072/pcjournal.69 

Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., &; Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.

Hasani, R., Lechner, M., Amini, A., Rus, D., &; Grosu, R. (2021). Liquid time-constant networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 7657–7666). Virtual: AAAI Press.

Babaiee, Z., Hasani, R., Lechner, M., Rus, D., &; Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.

Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., &; Rus, D. (2021). Causal navigation by continuous-time neural networks. In 35th Conference on Neural Information Processing Systems. Virtual.

Avni, G., Jecker, I. R., &; Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976465.38 

Schmid, L., &; Hilbe, C. (2021). The evolution of strategic ignorance in strategic interaction. In R. Hertwig &; C. Engel (Eds.), Deliberate Ignorance: Choosing Not To Know (Vol. 29, pp. 139–152). MIT Press.

Dvorak, M., &; Nicholson, S. (n.d.). Massively winning configurations in the convex grabbing game on the plane. In Proceedings of the 33rd Canadian Conference on Computational Geometry. Halifax, NS, Canada.

Auerbach, B., Chakraborty, S., Klein, K., Pascual Perez, G., Pietrzak, K. Z., Walter, M., &; Yeo, M. X. (2021). Inverse-Sybil attacks in automated contact tracing. In Topics in Cryptology – CT-RSA 2021 (Vol. 12704, pp. 399–421). Virtual Event: Springer Nature.https://doi.org/10.1007/978-3-030-75539-3_17 

Peste, E.-A., Iofinova, E. B., Vladu, A., &; Alistarh, D.-A. (2021). AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 8557–8570). Virtual, Online: Curran Associates.

Henzinger, T. A., Lechner, M., &; Zikelic, D. (2021). Scalable verification of quantized neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.

Lechner, M., dikeli, Ð., Chatterjee, K., &; Henzinger, T. A. (2021). Infinite time horizon safety of Bayesian neural networks. In 35th Conference on Neural Information Processing Systems. Virtual.https://doi.org/10.48550/arXiv.2111.03165 

Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe, M.,https://doi.org/10.1038/s41593-021-00906-5__Novitch, B. G. (2021). Identification of neural oscillations and epileptiform changes in human brain organoids (Vol. 24). Springer Nature.https://doi.org/10.1038/s41593-021-00906-5 

Khudiakova, K., Neretina, T. Y., &; Kondrashov, A. S. (2021). Two linked loci under mutation-selection balance and Muller’s ratchet. Journal of Theoretical Biology. Elsevier .https://doi.org/10.1016/j.jtbi.2021.110729 

Henzinger, T. A., &; Sarac, N. E. (2021). Quantitative and approximate monitoring. In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Online: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/LICS52264.2021.9470547 

Yalniz, G., Hof, B., &; Budanur, N. B. (2021). Coarse graining the state space of a turbulent flow using periodic orbits. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.126.244502 

Sperl, G., Narain, R., &; Wojtan, C. (2021). Mechanics-aware deformation of yarn pattern geometry. ACM Transactions on Graphics. Association for Computing Machinery.https://doi.org/10.1145/3450626.3459816 

Sperl, G., Narain, R., &; Wojtan, C. (2021). Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data). IST Austria.https://doi.org/10.15479/AT:ISTA:9327 

Lauritsen, A. B. (2021). Floating Wigner crystal and periodic jellium configurations. Journal of Mathematical Physics. AIP Publishing.https://doi.org/10.1063/5.0053494 

Karle, V., Serbyn, M., &; Michailidis, A. (2021). Area-law entangled eigenstates from nullspaces of local Hamiltonians. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.127.060602 

Lechner, M., Hasani, R., Grosu, R., Rus, D., &; Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In 2021 IEEE International Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China.https://doi.org/10.1109/ICRA48506.2021.9561036 

Lauritsen, A. B. (2021). The BCS energy gap at low density. Letters in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s11005-021-01358-5 

Osang, G. F. (2021). Multi-cover persistence and Delaunay mosaics. Institute of Science and Technology Austria, Klosterneuburg.https://doi.org/10.15479/AT:ISTA:9056 

Cipolloni, G. (2021). Fluctuations in the spectrum of random matrices. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:9022 

Phuong, M., &; Lampert, C. (2021). The inductive bias of ReLU networks on orthogonally separable data. In 9th International Conference on Learning Representations. Virtual.

Hensel, S. (2021). Curvature driven interface evolution: Uniqueness properties of weak solution concepts. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10007 

Bui, T. L., Chatterjee, K., Gautam, T., Pavlogiannis, A., &; Toman, V. (2021). The reads-from equivalence for the TSO and PSO memory models. Proceedings of the ACM on Programming Languages. Association for Computing Machinery.https://doi.org/10.1145/3485541 

Portinale, L. (2021). Discrete-to-continuum limits of transport problems and gradient flows in the space of measures. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10030 

Peruzzo, M. (2021). Geometric superinductors and their applications in circuit quantum electrodynamics. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9920 

Piankov, A. (2021). Towards designer materials using customizable particle shape. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10422 

Phuong, M. (2021). Underspecification in deep learning. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:9418 

Koval, I. (n.d.). Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv.https://doi.org/10.48550/ARXIV.2111.12171 

Toman, V. (2021). Improved verification techniques for concurrent systems. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10199 

Klein, K. (2021). On the adaptive security of graph-based games. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10035 

Nadiradze, G. (2021). On achieving scalability through relaxation. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10429 

Sack, S., &; Serbyn, M. (2021). Quantum annealing initialization of the quantum approximate optimization algorithm. Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften.https://doi.org/10.22331/Q-2021-07-01-491 

Jirovec, D. (2021). Research data for “A singlet-triplet hole spin qubit planar Ge.”https://doi.org/10.15479/AT:ISTA:9323__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:9323 

Valentini, M. (2021). Research data for “Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states.”https://doi.org/10.15479/AT:ISTA:9389__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:9389 

Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &; Barton, N. H. (2021). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:9192 

Feliciangeli, D. (2021). The polaron at strong coupling. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9733 

Hörmayer, L. (2021). Wound healing in the Arabidopsis root meristem. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9992 

Nardin, M., Csicsvari, J. L., Tkadik, G., &; Savin, C. (n.d.). The structure of hippocampal C interactions optimizes spatial coding across experience. bioRxiv. Cold Spring Harbor Laboratory.https://doi.org/10.1101/2021.09.28.460602 

Caballero Mancebo, S. (2021). Fertilization-induced deformations are controlled by the actin cortex and a mitochondria-rich subcortical layer in ascidian oocytes. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9623 

Jirovec, D. (2021). Singlet-Triplet qubits and spin-orbit interaction in 2-dimensional Ge hole gases. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10058 

Jirovec, D., Hofmann, A. C., Ballabio, A., Mutter, P. M., Tavani, G., Botifoll, M.,https://doi.org/10.1038/s41563-021-01022-2__Katsaros, G. (2021). A singlet triplet hole spin qubit in planar Ge. Nature Materials. Springer Nature.https://doi.org/10.1038/s41563-021-01022-2 

Huljev, K. (2021). Coordinated spatiotemporal reorganization of interstitial fluid is required for axial mesendoderm migration in zebrafish gastrulation. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9397 

Kleindienst, D. (2021). 2B or not 2B: Hippocampal asymmetries mediated by NMDA receptor subunit GluN2B C-terminus and high-throughput image analysis by Deep-Learning. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9562 

Goharshady, A. K. (2021). Parameterized and algebro-geometric advances in static program analysis. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:8934 

Tomasek, K. (2021). Pathogenic Escherichia coli hijack the host immune response. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10307 

Vega, A., Fredes, I., O’Brien, J., Shen, Z., Ötvös, K., Abualia, R.,https://doi.org/10.15252/embr.202051813__Gutiérrez, R. A. (2021). Nitrate triggered phosphoproteome changes and a PIN2 phosphosite modulating root system architecture. EMBO Reports. Wiley.https://doi.org/10.15252/embr.202051813 

Abualia, R. (2021). Role of hormones in nitrate regulated growth. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10303 

Hansen, A. H. (2021). Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:9962 

Li, L. (2021). Rapid cell growth regulation in Arabidopsis. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:10083 

Schmid, L. (2021). Evolution of cooperation via (in)direct reciprocity under imperfect information. Institute of Science and Technology Austria.https://doi.org/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. Springer Nature.https://doi.org/10.1038/s41598-021-96932-1 

Schmid, L., Chatterjee, K., Hilbe, C., &; Nowak, M. A. (2021). A unified framework of direct and indirect reciprocity. Nature Human Behaviour. Springer Nature.https://doi.org/10.1038/s41562-021-01114-8 

Semerádová, H. (2021). Molecular mechanisms of the cytokinin-regulated endomembrane trafficking to coordinate plant organogenesis. Institute of Science and Technology Austria.https://doi.org/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.https://doi.org/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. In Proceedings of the 37th International Conference on Machine Learning (pp. 4082–4093). Virtual.

Lechner, M. (2020). Learning representations for binary-classification without backpropagation. In 8th International Conference on Learning Representations. Virtualf; Addis Ababa, Ethiopia: ICLR.

Mayer, S. (2020). The free energy of a dilute two-dimensional Bose gas. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7514 

Ölsböck, K. (2020). The hole system of triangulated shapes. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7460 

Hensel, S., &; Rosati, T. (2020). Modelled distributions of Triebel–Lizorkin type. Studia Mathematica. Instytut Matematyczny.https://doi.org/10.4064/sm180411-11-2 

Tkadlec, J. (2020). A role of graphs in evolutionary processes. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7196 

Chatterjee, K., Pavlogiannis, A., &; Toman, V. (2019). Value-centric dynamic partial order reduction. In Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications (Vol. 3). Athens, Greece: ACM.https://doi.org/10.1145/3360550 

Käfer, K. (2019). The hippocampus and medial prefrontal cortex during flexible behavior. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6825 

Seitner, D., Uhse, S., Gallei, M. C., &; Djamei, A. (2018). The core effector Cce1 is required for early infection of maize by Ustilago maydis. Molecular Plant Pathology. Wiley.https://doi.org/10.1111/mpp.12698 

Vukusi, L. (2018). Charge sensing and spin relaxation times of holes in Ge hut wires. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1047 

Tarrach, T. (2016). Automatic synthesis of synchronisation primitives for concurrent programs. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:1130 

Sharmanska, V. (2015). Learning with attributes for object recognition: Parametric and non-parametrics views. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:1401 

Zufferey, D. (2013). Analysis of dynamic message passing programs. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:1405 

Kim, S. (2012). Active properties of hippocampal C pyramidal neuron dendrites. Institute of Science and Technology Austria.

Pflicke, H. (2010).   Dendritic cell migration across basement membranes in the skin. Institute of Science and Technology Austria.