Michael Rotman

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Text Segmentation

Bandit Problems

Supervised Learning

Top Venues

Publications

Erez Sheffi, Michael Rotman, Lior Wolf
Gradient Adjusting Networks for Domain Inversion. SCIA (2) (2023)
Erez Sheffi, Michael Rotman, Lior Wolf
Gradient Adjusting Networks for Domain Inversion. CoRR (2023)
Michael Rotman, Lior Wolf
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems. CoRR (2023)
Michael Rotman, Lior Wolf
Energy Regularized RNNS for solving non-stationary Bandit problems. ICASSP (2023)
Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz
Semi-supervised learning of partial differential operators and dynamical flows. UAI (2023)
Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf
Unsupervised Disentanglement with Tensor Product Representations on the Torus. CoRR (2022)
Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf
Unsupervised Disentanglement with Tensor Product Representations on the Torus. ICLR (2022)
Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows. CoRR (2022)
Michael Rotman, Lior Wolf
Shuffling Recurrent Neural Networks. AAAI (2021)
Michael Rotman, Lior Wolf
Natural Statistics Of Network Activations And Implications For Knowledge Distillation. ICIP (2021)
Michael Rotman, Lior Wolf
Natural Statistics of Network Activations and Implications for Knowledge Distillation. CoRR (2021)
Itamar Reis, Michael Rotman, Dovi Poznanski, J. Xavier Prochaska, Lior Wolf
Effectively using unsupervised machine learning in next generation astronomical surveys. Astron. Comput. 34 (2021)
Michael Rotman, Lior Wolf
Electric Analog Circuit Design with Hypernetworks And A Differential Simulator. ICASSP (2020)
Michael Rotman, Lior Wolf
Shuffling Recurrent Neural Networks. CoRR (2020)
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 (2020)
Michael Rotman, Lior Wolf
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator. CoRR (2019)
Michael Rotman, Itamar Reis, Dovi Poznanski, Lior Wolf
Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors. KDIR (2019)
Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant
Text Segmentation as a Supervised Learning Task. NAACL-HLT (2) (2018)
Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant
Text Segmentation as a Supervised Learning Task. CoRR (2018)