Michael Rotman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
7
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICASSP | Energy Regularized RNNS for solving non-stationary Bandit problems. | Michael Rotman, Lior Wolf |
| 2023 | UAI | Semi-supervised learning of partial differential operators and dynamical flows. | Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz |
| 2022 | ICLR | Unsupervised Disentanglement with Tensor Product Representations on the Torus. | Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf |
| 2021 | AAAI | Shuffling Recurrent Neural Networks. | Michael Rotman, Lior Wolf |
| 2021 | ICIP | Natural Statistics Of Network Activations And Implications For Knowledge Distillation. | Michael Rotman, Lior Wolf |
| 2020 | ICASSP | Electric Analog Circuit Design with Hypernetworks And A Differential Simulator. | Michael Rotman, Lior Wolf |
| 2019 | IC3K | Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors. | Michael Rotman, Itamar Reis, Dovi Poznanski, Lior Wolf |
| 2018 | NAACL | Text Segmentation as a Supervised Learning Task. | Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant |