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ORCIDMichael Rotman
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2020 – today
- 2023
[c9]Michael Rotman, Lior Wolf:
Energy Regularized RNNS for solving non-stationary Bandit problems. ICASSP 2023: 1-5- [c8]Erez Sheffi, Michael Rotman, Lior Wolf:
Gradient Adjusting Networks for Domain Inversion. SCIA (2) 2023: 118-137 - [c7]Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz:
Semi-supervised learning of partial differential operators and dynamical flows. UAI 2023: 1785-1794 - [i9]Erez Sheffi, Michael Rotman, Lior Wolf:
Gradient Adjusting Networks for Domain Inversion. CoRR abs/2302.11413 (2023) - [i8]Michael Rotman, Lior Wolf:
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems. CoRR abs/2303.06552 (2023) - 2022
- [c6]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. ICLR 2022 - [i7]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. CoRR abs/2202.06201 (2022) - [i6]Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz:
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows. CoRR abs/2207.14366 (2022) - 2021
- [j1]Itamar Reis
, Michael Rotman, Dovi Poznanski, J. Xavier Prochaska, Lior Wolf:
Effectively using unsupervised machine learning in next generation astronomical surveys. Astron. Comput. 34: 100437 (2021) - [c5]Michael Rotman, Lior Wolf:
Shuffling Recurrent Neural Networks. AAAI 2021: 9428-9435 - [c4]Michael Rotman, Lior Wolf:
Natural Statistics Of Network Activations And Implications For Knowledge Distillation. ICIP 2021: 399-403 - [i5]Michael Rotman, Lior Wolf:
Natural Statistics of Network Activations and Implications for Knowledge Distillation. CoRR abs/2106.00368 (2021) - 2020
- [c3]Michael Rotman, Lior Wolf:
Electric Analog Circuit Design with Hypernetworks And A Differential Simulator. ICASSP 2020: 4157-4161 - [i4]Michael Rotman, Rafi Brada, Israel Beniaminy, Sangtae Ahn, Christopher J. Hardy, Lior Wolf:
A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans. CoRR abs/2006.13804 (2020) - [i3]Michael Rotman, Lior Wolf:
Shuffling Recurrent Neural Networks. CoRR abs/2007.07324 (2020)
2010 – 2019
- 2019
- [c2]Michael Rotman, Itamar Reis, Dovi Poznanski, Lior Wolf:
Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors. KDIR 2019: 124-134 - [i2]Michael Rotman, Lior Wolf:
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator. CoRR abs/1911.03053 (2019) - 2018
- [c1]Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant:
Text Segmentation as a Supervised Learning Task. NAACL-HLT (2) 2018: 469-473 - [i1]Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant:
Text Segmentation as a Supervised Learning Task. CoRR abs/1803.09337 (2018)
Coauthor Index
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