| Inverse design of spontaneous parametric downconversion for generation of high-dimensional qudits E Rozenberg, A Karnieli, O Yesharim, J Foley-Comer, S Trajtenberg-Mills, ... Optica 9 (6), 602-615, 2022 | 26 | 2022 |
| Localization with Limited Annotation for Chest X-rays E Rozenberg, D Freedman, AM Bronstein Proceedings of the Machine Learning for Health NeurIPS Workshop 116, 52-65, 2019 | 23 | 2019 |
| Broadband and robust adiabatic second-harmonic generation by a temperature gradient in birefringently phase-matched lithium triborate crystal E Rozenberg, A Arie Optics Letters 44 (13), 3358-3361, 2019 | 22 | 2019 |
| Learning to Localize Objects using Limited Annotation, with Applications to Thoracic Diseases E Rozenberg, D Freedman, AM Bronstein IEEE Access, 2021 | 10 | 2021 |
| Semi-Equivariant conditional normalizing flows, with applications to target-aware molecule generation E Rozenberg, D Freedman Machine Learning: Science and Technology, 2023 | 5 | 2023 |
| Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals E Rozenberg, A Karnieli, O Yesharim, S Trajtenberg-Mills, D Freedman, ... Conference on Lasers and Electro-Optics, FM1N.7, 2021 | 5 | 2021 |
| Structure-Based Drug Design via Semi-Equivariant Conditional Normalizing Flows E Rozenberg, E Rivlin, D Freedman ICLR 2023-Machine Learning for Drug Discovery workshop, 2023 | 3 | 2023 |
| JAX implementation for learning 3D nonlinear photonic crystals and pump structure for high-dimensional quantum state engineering E Rozenberg Github, 2021 | 3 | 2021 |
| Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation E Rozenberg, D Freedman arXiv preprint arXiv:2211.04754, 2022 | 2 | 2022 |
| Supplementary document for Inverse Design of Spontaneous Parametric Down Conversion for Generation of High-Dimensional Qudits E Rozenberg, A Karnieli, O Yesharim, J Foley-Comer, S Trajtenberg-Mills, ... Supplementary document for Inverse Design of Spontaneous Parametric Down …, 2022 | 2* | 2022 |
| Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering E Rozenberg, A Karnieli, O Yesharim, J Foley-Comer, S Trajtenberg-Mills, ... ICLR 2023 Workshop on Machine Learning for Materials, 2023 | 1 | 2023 |
| Overcoming Order in Autoregressive Graph Generation for Molecule Generation E Cohen-Karlik, E Rozenberg, D Freedman Transactions on Machine Learning Research, 2024 | | 2024 |
| Molecular Diffusion Models with Virtual Receptors M Halfon, E Rozenberg, E Rivlin, D Freedman arXiv preprint arXiv:2406.18330, 2024 | | 2024 |
| Fast Simulation of Spontaneous Parametric Down-Conversion via Neural Operators DH Shacham, N Maor, B Halperin, E Rozenberg, AM Bronstein, ... Quantum 2.0, QW3A. 20, 2024 | | 2024 |
| A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Schrodinger Equation D Freedman, E Rozenberg, A Bronstein arXiv preprint arXiv:2406.00047, 2024 | | 2024 |
| Data-driven modeling of interrelated dynamical systems Y Elul, E Rozenberg, A Boyarski, Y Yaniv, A Schuster, AM Bronstein Communications Physics 7 (1), 141, 2024 | | 2024 |
| Overcoming Order in Autoregressive Graph Generation E Cohen-Karlik, E Rozenberg, D Freedman arXiv preprint arXiv:2402.03387, 2024 | | 2024 |
| Order Agnostic Autoregressive Graph Generation E Cohen-Karlik, E Rozenberg, D Freedman NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | | 2023 |
| Virtual Receptors for Efficient Molecular Diffusion M Halfon, E Rozenberg, E Rivlin, D Freedman NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| Semi-Equivariant Conditional Normalizing Flows E Rozenberg, D Freedman Workshop on ''Physics for Machine Learning'' ICLR 2023, 2023 | | 2023 |
Daniel FreedmanResearch Scientist, Google Research在 google.com 的电子邮件经过验证
