Michael Rotman

According to our database, Michael Rotman authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Semi-supervised learning of partial differential operators and dynamical flows.

Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Gradient Adjusting Networks for Domain Inversion.

Erez Sheffi, Michael Rotman, Lior Wolf

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Energy Regularized RNNS for solving non-stationary Bandit problems.

Michael Rotman, Lior Wolf

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Unsupervised Disentanglement with Tensor Product Representations on the Torus.

Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Effectively using unsupervised machine learning in next generation astronomical surveys.

Itamar Reis, Michael Rotman, Dovi Poznanski, J. Xavier Prochaska, Lior Wolf

Astron. Comput., 2021

Natural Statistics Of Network Activations And Implications For Knowledge Distillation.

Michael Rotman, Lior Wolf

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Shuffling Recurrent Neural Networks.

Michael Rotman, Lior Wolf

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans.

Michael Rotman, Rafi Brada, Israel Beniaminy, Sangtae Ahn, Christopher J. Hardy, Lior Wolf

CoRR, 2020

Electric Analog Circuit Design with Hypernetworks And A Differential Simulator.

Michael Rotman, Lior Wolf

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors.

Michael Rotman, Itamar Reis, Dovi Poznanski, Lior Wolf

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018

Text Segmentation as a Supervised Learning Task.

Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018