Michael Rotman

19 papers A* 2A 1B 1Misc 2Journal 10Unranked 3

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