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663 Publications
2024 | Research Data | IST-REx-ID: 15385 |

Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice
L. Burnett, P. Koppensteiner, O. Symonova, T. Masson, T.A. Vega Zuniga, X. Contreras, T. Rülicke, R. Shigemoto, G. Novarino, M.A. Jösch, (2024).
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L. Burnett, P. Koppensteiner, O. Symonova, T. Masson, T.A. Vega Zuniga, X. Contreras, T. Rülicke, R. Shigemoto, G. Novarino, M.A. Jösch, (2024).
2024 | Published | Thesis | IST-REx-ID: 18766 |

Elucidating the structural determinants of the poxvirus core using multi-modal cryo-EM
J. Datler, Elucidating the Structural Determinants of the Poxvirus Core Using Multi-Modal Cryo-EM, Institute of Science and Technology Austria, 2024.
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J. Datler, Elucidating the Structural Determinants of the Poxvirus Core Using Multi-Modal Cryo-EM, Institute of Science and Technology Austria, 2024.
2024 | Published | Journal Article | IST-REx-ID: 14979 |

Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores
J. Datler, J. Hansen, A. Thader, A. Schlögl, L.W. Bauer, V.-V. Hodirnau, F.K. Schur, Nature Structural & Molecular Biology 31 (2024) 1114–1123.
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J. Datler, J. Hansen, A. Thader, A. Schlögl, L.W. Bauer, V.-V. Hodirnau, F.K. Schur, Nature Structural & Molecular Biology 31 (2024) 1114–1123.
2024 | Published | Journal Article | IST-REx-ID: 17124 |

Solution-processed, surface-engineered, polycrystalline CdSe-SnSe exhibiting low thermal conductivity
C. Fiedler, Y. Liu, M. Ibáñez, Journal of Visualized Experiments 2024 (2024).
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C. Fiedler, Y. Liu, M. Ibáñez, Journal of Visualized Experiments 2024 (2024).
2024 | Published | Journal Article | IST-REx-ID: 14886 |

Dispersive effects in ultrafast nonlinear phenomena: The case of optical Kerr effect
D. Lorenc, Z. Alpichshev, Physical Review Research 6 (2024).
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D. Lorenc, Z. Alpichshev, Physical Review Research 6 (2024).
2024 | Published | Thesis | IST-REx-ID: 17490 |

Communication-efficient distributed training of deep neural networks : An algorithms and systems perspective
I. Markov, Communication-Efficient Distributed Training of Deep Neural Networks : An Algorithms and Systems Perspective, Institute of Science and Technology Austria, 2024.
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I. Markov, Communication-Efficient Distributed Training of Deep Neural Networks : An Algorithms and Systems Perspective, Institute of Science and Technology Austria, 2024.
2024 | Published | Conference Paper | IST-REx-ID: 17456 |

L-GreCo: Layerwise-adaptive gradient compression for efficient data-parallel deep learning
I. Markov, K. Alimohammadi, E. Frantar, D.-A. Alistarh, in:, P. Gibbons, G. Pekhimenko, C. De Sa (Eds.), Proceedings of Machine Learning and Systems , Association for Computing Machinery, 2024.
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I. Markov, K. Alimohammadi, E. Frantar, D.-A. Alistarh, in:, P. Gibbons, G. Pekhimenko, C. De Sa (Eds.), Proceedings of Machine Learning and Systems , Association for Computing Machinery, 2024.
2024 | Published | Thesis | IST-REx-ID: 17346 |

Stability and change in the memory system during rest
L. Bollmann, Stability and Change in the Memory System during Rest, Institute of Science and Technology Austria, 2024.
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L. Bollmann, Stability and Change in the Memory System during Rest, Institute of Science and Technology Austria, 2024.
2024 | Published | Thesis | IST-REx-ID: 14821 |

Adaptive hierarchical representations in the hippocampus
H.S.C. Chiossi, Adaptive Hierarchical Representations in the Hippocampus, Institute of Science and Technology Austria, 2024.
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H.S.C. Chiossi, Adaptive Hierarchical Representations in the Hippocampus, Institute of Science and Technology Austria, 2024.
2024 | Published | Thesis | IST-REx-ID: 17368 |

Bayesian linear regression for analyzing general omics data with time-to-event phenotypes
A. Villanueva Marijuan, Bayesian Linear Regression for Analyzing General Omics Data with Time-to-Event Phenotypes, Institute of Science and Technology Austria, 2024.
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A. Villanueva Marijuan, Bayesian Linear Regression for Analyzing General Omics Data with Time-to-Event Phenotypes, Institute of Science and Technology Austria, 2024.
2024 | Published | Thesis | IST-REx-ID: 17119 |

Characterizing the sequence and expression evolution of the t-haplotype, a model meiotic driver
R.K. Kelemen, Characterizing the Sequence and Expression Evolution of the T-Haplotype, a Model Meiotic Driver, Institute of Science and Technology Austria, 2024.
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R.K. Kelemen, Characterizing the Sequence and Expression Evolution of the T-Haplotype, a Model Meiotic Driver, Institute of Science and Technology Austria, 2024.
2024 | Published | Journal Article | IST-REx-ID: 14843 |

Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse
J. Chen, W. Kaufmann, C. Chen, itaru Arai, O. Kim, R. Shigemoto, P.M. Jonas, Neuron 112 (2024) 755–771.e9.
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J. Chen, W. Kaufmann, C. Chen, itaru Arai, O. Kim, R. Shigemoto, P.M. Jonas, Neuron 112 (2024) 755–771.e9.
2024 | Published | Thesis | IST-REx-ID: 15101 |

Developmental transformation of nanodomain coupling between Ca2+ channels and release sensors at a central GABAergic synapse
J. Chen, Developmental Transformation of Nanodomain Coupling between Ca2+ Channels and Release Sensors at a Central GABAergic Synapse, Institute of Science and Technology Austria, 2024.
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J. Chen, Developmental Transformation of Nanodomain Coupling between Ca2+ Channels and Release Sensors at a Central GABAergic Synapse, Institute of Science and Technology Austria, 2024.
2024 | Published | Journal Article | IST-REx-ID: 15323 |

SCAF1 drives the compositional diversity of mammalian respirasomes
I. Vercellino, L.A. Sazanov, Nature Structural and Molecular Biology 31 (2024) 1061–1071.
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I. Vercellino, L.A. Sazanov, Nature Structural and Molecular Biology 31 (2024) 1061–1071.
2024 | Published | Thesis | IST-REx-ID: 18101 |

Structural characterization of spumavirus capsid assemblies
D. Porley Esteves, Structural Characterization of Spumavirus Capsid Assemblies, Institute of Science and Technology Austria, 2024.
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D. Porley Esteves, Structural Characterization of Spumavirus Capsid Assemblies, Institute of Science and Technology Austria, 2024.
2024 | Published | Thesis | IST-REx-ID: 17881 |

Thermal effects in one dimensional Josephson chains
S. Mukhopadhyay, Thermal Effects in One Dimensional Josephson Chains, Institute of Science and Technology Austria, 2024.
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S. Mukhopadhyay, Thermal Effects in One Dimensional Josephson Chains, Institute of Science and Technology Austria, 2024.
2024 | Draft | Preprint | IST-REx-ID: 18057 |

Dual relaxation oscillations in a Josephson junction array
S. Mukhopadhyay, D.A. Lancheros Naranjo, J.L. Senior, A.P. Higginbotham, ArXiv (n.d.).
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S. Mukhopadhyay, D.A. Lancheros Naranjo, J.L. Senior, A.P. Higginbotham, ArXiv (n.d.).
2024 | Published | Thesis | IST-REx-ID: 15352 |

Investigating acute microglia response to seizure activity in vivo: Combining 2-Photon imaging and EEG recording
J.S. Murmann, Investigating Acute Microglia Response to Seizure Activity in Vivo: Combining 2-Photon Imaging and EEG Recording, Institute of Science and Technology Austria, 2024.
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J.S. Murmann, Investigating Acute Microglia Response to Seizure Activity in Vivo: Combining 2-Photon Imaging and EEG Recording, Institute of Science and Technology Austria, 2024.
2024 | Published | Thesis | IST-REx-ID: 17465 |

High-dimensional limits in artificial neural networks
A. Shevchenko, High-Dimensional Limits in Artificial Neural Networks, Institute of Science and Technology Austria, 2024.
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A. Shevchenko, High-Dimensional Limits in Artificial Neural Networks, Institute of Science and Technology Austria, 2024.
2024 | Published | Conference Paper | IST-REx-ID: 17469 |

Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth
K. Kögler, A. Shevchenko, H. Hassani, M. Mondelli, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 24964–25015.
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K. Kögler, A. Shevchenko, H. Hassani, M. Mondelli, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 24964–25015.