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7085 Publications
2024 |Published| Journal Article | IST-REx-ID: 17888 | 
Multiscale spatial analysis of two plant–insect interactions: Effects of landscape, resource distribution, and other insects
G. Pocull Belles, C. Baskett, N.H. Barton, Landscape Ecology 39 (2024).
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G. Pocull Belles, C. Baskett, N.H. Barton, Landscape Ecology 39 (2024).
2024 |Published| Conference Paper | IST-REx-ID: 17898
Overparametrization helps offline-to-online generalization of closed-loop control from pixels
M. Lechner, R. Hasani, A. Amini, T.H. Wang, T.A. Henzinger, D. Rus, in:, Proceedings of the 2024 IEEE International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers, 2024, pp. 2774–2782.
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M. Lechner, R. Hasani, A. Amini, T.H. Wang, T.A. Henzinger, D. Rus, in:, Proceedings of the 2024 IEEE International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers, 2024, pp. 2774–2782.
2024 | Research Data | IST-REx-ID: 17362 |
Data for: "Single-nucleus atlas of the Artemia female reproductive system suggests germline repression of the Z chromosome"
M.N. Elkrewi, B. Vicoso, (2024).
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M.N. Elkrewi, B. Vicoso, (2024).
2024 |Epub ahead of print| Journal Article | IST-REx-ID: 17890 |
Single-nucleus atlas of the Artemia female reproductive system suggests germline repression of the Z chromosome
M.N. Elkrewi, B. Vicoso, PLoS Genetics (2024).
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M.N. Elkrewi, B. Vicoso, PLoS Genetics (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| 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 |Epub ahead of print| Journal Article | IST-REx-ID: 18073 |
Disordered regions in the IRE1α ER lumenal domain mediate its stress-induced clustering
P. Kettel, L. Marosits, E. Spinetti, M. Rechberger, C. Giannini, P. Radler, I. Niedermoser, I. Fischer, G.A. Versteeg, M. Loose, R. Covino, G.E. Karagöz, EMBO Journal (2024).
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P. Kettel, L. Marosits, E. Spinetti, M. Rechberger, C. Giannini, P. Radler, I. Niedermoser, I. Fischer, G.A. Versteeg, M. Loose, R. Covino, G.E. Karagöz, EMBO Journal (2024).
2024 |Published| Conference Paper | IST-REx-ID: 18070
Federated SGD with local asynchrony
B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the 44th International Conference on Distributed Computing Systems, IEEE, 2024, pp. 857–868.
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B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the 44th International Conference on Distributed Computing Systems, IEEE, 2024, pp. 857–868.
2024 |Published| Conference Paper | IST-REx-ID: 18066 |
Bidding games with charging
G. Avni, E.K. Goharshady, T.A. Henzinger, K. Mallik, in:, 35th International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
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G. Avni, E.K. Goharshady, T.A. Henzinger, K. Mallik, in:, 35th International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
2024 |Published| Conference Paper | IST-REx-ID: 18067 |
History-determinism vs fair simulation
U. Boker, T.A. Henzinger, K. Lehtinen, A. Prakash, in:, 35th International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
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U. Boker, T.A. Henzinger, K. Lehtinen, A. Prakash, in:, 35th International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
2024 |Published| Journal Article | IST-REx-ID: 18063 |
Polarly localized Bro1 domain proteins regulate PIN-FORMED abundance and root gravitropic growth in Arabidopsis
Y. Peng, K. Ji, Y. Mao, Y. Wang, B. Korbei, C. Luschnig, J. Shen, E. Benková, J. Friml, S. Tan, Communications Biology 7 (2024).
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Y. Peng, K. Ji, Y. Mao, Y. Wang, B. Korbei, C. Luschnig, J. Shen, E. Benková, J. Friml, S. Tan, Communications Biology 7 (2024).
2024 |Published| Conference Paper | IST-REx-ID: 18068 |
Strategic dominance: A new preorder for nondeterministic processes
T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 35th International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
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T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, in:, 35th International Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
2024 |Published| Conference Paper | IST-REx-ID: 18097 |
The ultimate frontier: An optimality construction for homotopy inference (media exposition)
D. Attali, H. Kourimska, C.D. Fillmore, I. Ghosh, A. Lieutier, E.R. Stephenson, M. Wintraecken, in:, 40th International Symposium on Computational Geometry, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
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D. Attali, H. Kourimska, C.D. Fillmore, I. Ghosh, A. Lieutier, E.R. Stephenson, M. Wintraecken, in:, 40th International Symposium on Computational Geometry, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.
2024 |Published| Journal Article | IST-REx-ID: 17202 |
A gate tunable transmon qubit in planar Ge
O. Sagi, A. Crippa, M. Valentini, M. Janik, L. Baghumyan, G. Fabris, L. Kapoor, F. Hassani, J.M. Fink, S. Calcaterra, D. Chrastina, G. Isella, G. Katsaros, Nature Communications 15 (2024).
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O. Sagi, A. Crippa, M. Valentini, M. Janik, L. Baghumyan, G. Fabris, L. Kapoor, F. Hassani, J.M. Fink, S. Calcaterra, D. Chrastina, G. Isella, G. Katsaros, Nature Communications 15 (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 |Submitted| 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: 17485 |
Compressing large neural networks : Algorithms, systems and scaling laws
E. Frantar, Compressing Large Neural Networks : Algorithms, Systems and Scaling Laws, Institute of Science and Technology Austria, 2024.
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E. Frantar, Compressing Large Neural Networks : Algorithms, Systems and Scaling Laws, Institute of Science and Technology Austria, 2024.
2024 |Published| Conference Paper | IST-REx-ID: 18061 |
QMoE: Sub-1-bit compression of trillion parameter models
E. Frantar, D.-A. Alistarh, in:, P. Gibbons, G. Pekhimenko, C. De Sa (Eds.), Proceedings of Machine Learning and Systems, 2024.
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E. Frantar, D.-A. Alistarh, in:, P. Gibbons, G. Pekhimenko, C. De Sa (Eds.), Proceedings of Machine Learning and Systems, 2024.
2024 |Published| Conference Paper | IST-REx-ID: 18062 |
Scaling laws for sparsely-connected foundation models
E. Frantar, C.R. Ruiz, N. Houlsby, D.-A. Alistarh, U. Evci, in:, The Twelfth International Conference on Learning Representations, 2024.
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E. Frantar, C.R. Ruiz, N. Houlsby, D.-A. Alistarh, U. Evci, in:, The Twelfth International Conference on Learning Representations, 2024.