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4963 Publications
2020 |
Published |
Conference Paper |
IST-REx-ID: 9198 |
Shevchenko, A., & Mondelli, M. (2020). Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 8773–8784). ML Research Press.
[Published Version]
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| arXiv
2020 |
Published |
Conference Paper |
IST-REx-ID: 9202 |
Garcia Soto, M., & Prabhakar, P. (2020). Hybridization for stability verification of nonlinear switched systems. In 2020 IEEE Real-Time Systems Symposium (pp. 244–256). Houston, TX, USA : IEEE. https://doi.org/10.1109/RTSS49844.2020.00031
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| WoS
2020 |
Published |
Journal Article |
IST-REx-ID: 9208
Laccone, F., Malomo, L., Perez Rodriguez, J., Pietroni, N., Ponchio, F., Bickel, B., & Cignoni, P. (2020). A bending-active twisted-arch plywood structure: Computational design and fabrication of the FlexMaps Pavilion. SN Applied Sciences. Springer Nature. https://doi.org/10.1007/s42452-020-03305-w
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2020 |
Published |
Conference Paper |
IST-REx-ID: 9221 |
Nguyen, Q., & Mondelli, M. (2020). Global convergence of deep networks with one wide layer followed by pyramidal topology. In 34th Conference on Neural Information Processing Systems (Vol. 33, pp. 11961–11972). Vancouver, Canada: Curran Associates.
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| arXiv
2020 |
Research Data |
IST-REx-ID: 9222 |
Katsaros, G. (2020). Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically tunable spin–orbit coupling. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9222
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2020 |
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Journal Article |
IST-REx-ID: 9249 |
Biswas, R., Largeteau-Skapin, G., Zrour, R., & Andres, E. (2020). Digital objects in rhombic dodecahedron grid. Mathematical Morphology - Theory and Applications. De Gruyter. https://doi.org/10.1515/mathm-2020-0106
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2020 |
Published |
Conference Paper |
IST-REx-ID: 9299 |
Pach, J., Tardos, G., & Tóth, G. (2020). Crossings between non-homotopic edges. In 28th International Symposium on Graph Drawing and Network Visualization (Vol. 12590, pp. 359–371). Virtual, Online: Springer Nature. https://doi.org/10.1007/978-3-030-68766-3_28
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| arXiv
2020 |
Published |
Journal Article |
IST-REx-ID: 9308 |
Avvakumov, S., Wagner, U., Mabillard, I., & Skopenkov, A. B. (2020). Eliminating higher-multiplicity intersections, III. Codimension 2. Russian Mathematical Surveys. IOP Publishing. https://doi.org/10.1070/RM9943
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| arXiv
2020 |
Research Data Reference |
IST-REx-ID: 9326 |
Gupta, C., Khaniya, U., Chan, C., Dehez, F., Shekhar, M., Gunner, M. R., … Singharoy, A. (2020). Charge transfer and chemo-mechanical coupling in respiratory complex I. American Chemical Society. https://doi.org/10.1021/jacs.9b13450.s002
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2020 |
Conference Paper |
IST-REx-ID: 9415 |
Kurtz, M., Kopinsky, J., Gelashvili, R., Matveev, A., Carr, J., Goin, M., … Alistarh, D.-A. (2020). Inducing and exploiting activation sparsity for fast neural network inference. In 37th International Conference on Machine Learning, ICML 2020 (Vol. 119, pp. 5533–5543). Online.
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2020 |
Published |
Journal Article |
IST-REx-ID: 9526 |
Choi, J., Lyons, D. B., Kim, M. Y., Moore, J. D., & Zilberman, D. (2020). DNA methylation and histone H1 jointly repress transposable elements and aberrant intragenic transcripts. Molecular Cell. Elsevier. https://doi.org/10.1016/j.molcel.2019.10.011
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| PubMed | Europe PMC
2020 |
Published |
Journal Article |
IST-REx-ID: 9630 |
Edelsbrunner, H., Virk, Z., & Wagner, H. (2020). Topological data analysis in information space. Journal of Computational Geometry. Carleton University. https://doi.org/10.20382/jocg.v11i2a7
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2020 |
Published |
Conference Paper |
IST-REx-ID: 9631 |
Aksenov, V., Alistarh, D.-A., & Korhonen, J. (2020). Scalable belief propagation via relaxed scheduling. In Advances in Neural Information Processing Systems (Vol. 33, pp. 22361–22372). Vancouver, Canada: Curran Associates.
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| arXiv
2020 |
Published |
Conference Paper |
IST-REx-ID: 9632 |
Singh, S. P., & Alistarh, D.-A. (2020). WoodFisher: Efficient second-order approximation for neural network compression. In Advances in Neural Information Processing Systems (Vol. 33, pp. 18098–18109). Vancouver, Canada: Curran Associates.
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| arXiv
2020 |
Published |
Conference Paper |
IST-REx-ID: 9633 |
Confavreux, B. J., Zenke, F., Agnes, E. J., Lillicrap, T., & Vogels, T. P. (2020). A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. In Advances in Neural Information Processing Systems (Vol. 33, pp. 16398–16408). Vancouver, Canada.
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2020 |
Submitted |
Preprint |
IST-REx-ID: 10012 |
Fischer, J. L., Hensel, S., Laux, T., & Simon, T. (n.d.). The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions. arXiv.
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| arXiv
2020 |
Submitted |
Preprint |
IST-REx-ID: 10022 |
Forkert, D. L., Maas, J., & Portinale, L. (n.d.). Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv.
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| arXiv
2020 |
Published |
Conference Paper |
IST-REx-ID: 10328
Lambert, N. J., Mobassem, S., Rueda Sanchez, A. R., & Schwefel, H. G. L. (2020). New designs and noise channels in electro-optic microwave to optical up-conversion. In OSA Quantum 2.0 Conference. Washington, DC, United States: Optica Publishing Group. https://doi.org/10.1364/QUANTUM.2020.QTu8A.1
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2020 |
Published |
Conference Paper |
IST-REx-ID: 10556 |
Kokoris Kogias, E., Malkhi, D., & Spiegelman, A. (2020). Asynchronous distributed key generation for computationally-secure randomness, consensus, and threshold signatures. In Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security (pp. 1751–1767). Virtual, United States: Association for Computing Machinery. https://doi.org/10.1145/3372297.3423364
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| WoS
2020 |
Patent |
IST-REx-ID: 10557 |
Ford, B., Gasse, L., Kokoris Kogias, E., & Jovanovic, P. (2020). Cryptographically verifiable data structure having multi-hop forward and backwards links and associated systems and methods.
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