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5128 Publications
2023 |Published| Conference Paper | IST-REx-ID: 14242 |
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Quantization-aware interval bound propagation for training certifiably robust quantized neural networks
M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–14973.
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M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–14973.
2023 |Published| Conference Paper | IST-REx-ID: 14243 |
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Bidding graph games with partially-observable budgets
G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023, pp. 5464–5471.
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G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023, pp. 5464–5471.
2023 |Published| Conference Paper | IST-REx-ID: 14241 |
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Stealth shaper: Reflectivity optimization as surface stylization
K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference Proceedings, Association for Computing Machinery, 2023.
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K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference Proceedings, Association for Computing Machinery, 2023.
2023 |Published| Journal Article | IST-REx-ID: 12562
Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from proprioceptive sensory neurons
D.R. Ladle, S. Hippenmeyer, Journal of Neurophysiology 129 (2023) 501–512.
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D.R. Ladle, S. Hippenmeyer, Journal of Neurophysiology 129 (2023) 501–512.
2023 |Published| Conference Paper | IST-REx-ID: 13310 |
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Monitoring algorithmic fairness
T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification, Springer Nature, 2023, pp. 358–382.
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T.A. Henzinger, M. Karimi, K. Kueffner, K. Mallik, in:, Computer Aided Verification, Springer Nature, 2023, pp. 358–382.
2023 |Published| Journal Article | IST-REx-ID: 12205 |
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Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium
J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 35–45.
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J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 35–45.
2023 |Published| Journal Article | IST-REx-ID: 12115 |
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ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium
J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 46–47.
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J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 46–47.
2023 |Published| Journal Article | IST-REx-ID: 14253 |
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Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling
N.C. Vierra, L. Ribeiro-Silva, M. Kirmiz, D. Van Der List, P. Bhandari, O.A. Mack, J. Carroll, E. Le Monnier, S.A. Aicher, R. Shigemoto, J.S. Trimmer, Nature Communications 14 (2023).
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N.C. Vierra, L. Ribeiro-Silva, M. Kirmiz, D. Van Der List, P. Bhandari, O.A. Mack, J. Carroll, E. Le Monnier, S.A. Aicher, R. Shigemoto, J.S. Trimmer, Nature Communications 14 (2023).
2023 |Published| Conference Paper | IST-REx-ID: 14259 |
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Guessing winning policies in LTL synthesis by semantic learning
J. Kretinsky, T. Meggendorfer, M. Prokop, S. Rieder, in:, 35th International Conference on Computer Aided Verification , Springer Nature, 2023, pp. 390–414.
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J. Kretinsky, T. Meggendorfer, M. Prokop, S. Rieder, in:, 35th International Conference on Computer Aided Verification , Springer Nature, 2023, pp. 390–414.
2023 |Published| Conference Paper | IST-REx-ID: 14105 |
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TeST: Test-time Self-Training under distribution shift
S. Sinha, P. Gehler, F. Locatello, B. Schiele, in:, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Institute of Electrical and Electronics Engineers, 2023.
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S. Sinha, P. Gehler, F. Locatello, B. Schiele, in:, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Institute of Electrical and Electronics Engineers, 2023.
2023 |Published| Journal Article | IST-REx-ID: 14256 |
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Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields
S. Mathis, L.A. Bugnet, Astronomy and Astrophysics 676 (2023).
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S. Mathis, L.A. Bugnet, Astronomy and Astrophysics 676 (2023).
2023 |Published| Conference Paper | IST-REx-ID: 14208 |
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Benign overfitting in deep neural networks under lazy training
Z. Zhu, F. Liu, G.G. Chrysos, F. Locatello, V. Cevher, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 43105–43128.
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Z. Zhu, F. Liu, G.G. Chrysos, F. Locatello, V. Cevher, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 43105–43128.
2023 |Submitted| Preprint | IST-REx-ID: 14209 |
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A data augmentation perspective on diffusion models and retrieval
M.F. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, ArXiv (n.d.).
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M.F. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, ArXiv (n.d.).
2023 |Published| Conference Paper | IST-REx-ID: 14211 |
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Causal discovery with score matching on additive models with arbitrary noise
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
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F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
2023 |Published| Conference Paper | IST-REx-ID: 14212 |
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Scalable causal discovery with score matching
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
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F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
2023 |Published| Conference Paper | IST-REx-ID: 14214 |
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Causal triplet: An open challenge for intervention-centric causal representation learning
Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
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Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
2023 |Published| Conference Paper | IST-REx-ID: 14217 |
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Relative representations enable zero-shot latent space communication
L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà, in:, The 11th International Conference on Learning Representations, 2023.
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L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà, in:, The 11th International Conference on Learning Representations, 2023.
2023 |Published| Conference Paper | IST-REx-ID: 14222 |
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Unsupervised object learning via common fate
M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T. Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
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M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T. Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
2023 |Published| Conference Paper | IST-REx-ID: 14218 |
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Bridging the gap to real-world object-centric learning
M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The 11th International Conference on Learning Representations, 2023.
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M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The 11th International Conference on Learning Representations, 2023.
2023 |Published| Conference Paper | IST-REx-ID: 14219 |
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Unsupervised semantic segmentation with self-supervised object-centric representations
A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The 11th International Conference on Learning Representations, 2023.
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A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The 11th International Conference on Learning Representations, 2023.