publications

2023

1. ICML Workshop

   Continuous Vector Quantile Regression

   Vedula, S., Tallini, I., Rosenberg, A., Pegoraro, M., Rodola, E., Romano, Y., and Bronstein, A.

   In ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems 2023
2. ICML Workshop

   Vector Quantile Regression on Manifolds

   Pegoraro, M.,  Vedula, S., Rosenberg, A., Tallini, I., Rodola, E., and Bronstein, A.

   In ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems 2023
3. ICLR

   Fast Nonlinear Vector Quantile Regression

   Rosenberg, A.,  Vedula, S., Romano, Y., and Bronstein, A.

   In Proc. International Conference on Learning Representations (ICLR), 2023

   Bib HTML

   @inproceedings{rosenberg2023fast,
     bibtex_show = {true},
     abbr = {ICLR},
     title = {Fast Nonlinear Vector Quantile Regression},
     author = {Rosenberg, A. and Vedula, S. and Romano, Y. and Bronstein, A.},
     booktitle = {Proc. International Conference on Learning Representations (ICLR),},
     html = {https://arxiv.org/abs/2205.14977},
     year = {2023},
     selected = {true}
   }

4. ASPLOS

   GRACE: A Scalable Graph-Based Approach To Accelerating Recommendation Model Inference

   Ye, H.,  Vedula, S., Chen, Y., Yeng, Y., Bronstein, A., Dreslinski, R., Mudge, T., and Talati, N.

   In 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023

   Bib

   @inproceedings{ye2023grace,
     bibtex_show = {true},
     abbr = {ASPLOS},
     title = {GRACE: A Scalable Graph-Based Approach To Accelerating Recommendation Model Inference},
     author = {Ye, H. and Vedula, S. and Chen, Y. and Yeng, Y. and Bronstein, A. and Dreslinski, R. and Mudge, T. and Talati, N.},
     booktitle = {28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),},
     year = {2023}
   }

2022

1. MICRO

   Mint: An Accelerator For Mining Temporal Motifs

   Talati, N., Ye, H.,  Vedula, S., Chen, K.Y., Chen, Y., Liu, D., Yuan, Y., Blaauw, D., Bronstein, A., Mudge, T., and Dreslinski, R.

   In 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022

   Bib

   @inproceedings{talati2022mint,
     bibtex_show = {true},
     abbr = {MICRO},
     title = {Mint: An Accelerator For Mining Temporal Motifs},
     author = {Talati, N. and Ye, H. and Vedula, S. and Chen, K.Y. and Chen, Y. and Liu, D. and Yuan, Y. and Blaauw, D. and Bronstein, A. and Mudge, T. and Dreslinski, R.},
     booktitle = {55th IEEE/ACM International Symposium on Microarchitecture (MICRO),},
     pages = {1270--1287},
     year = {2022}
   }

2021

1. MELBA

   PILOT: Physics-informed learned optimal trajectories for accelerated MRI

   Weiss, T., Senouf, O.,  Vedula, S., Michailovich, O., Zibulevsky, M., and Bronstein, A.

   The Journal of Machine Learning for Biomedical Imaging 2021

   Bib HTML

   @article{weiss2021pilot,
     bibtex_show = {true},
     abbr = {MELBA},
     title = {PILOT: Physics-informed learned optimal trajectories for accelerated MRI},
     author = {Weiss, T. and Senouf, O. and Vedula, S. and Michailovich, O. and Zibulevsky, M. and Bronstein, A.},
     journal = {The Journal of Machine Learning for Biomedical Imaging},
     volume = {1},
     issue = {April 2021 issue},
     year = {2021},
     html = {https://melba-journal.org/papers/2021:006.html},
     selected = {false}
   }

2. US Patent

   Systems and methods for ultrasonic imaging

   Senouf, O.,  Vedula, S., Bronstein, A., Zibulevsky, M., Zurakhov, G., and Michailovich, O.

   US Patent 11,158,052, 2021

   Bib

   @article{senouf2021systems,
     bibtex_show = {true},
     abbr = {US Patent},
     title = {Systems and methods for ultrasonic imaging},
     author = {Senouf, O. and Vedula, S. and Bronstein, A. and and Zibulevsky, M. and Zurakhov, G. and Michailovich, O.},
     journal = {US Patent 11,158,052,},
     year = {2021}
   }

3. MLSP

   Joint optimization of system design and reconstruction in MIMO radar imaging

   Weiss, T., Peretz, N.,  Vedula, S., Feuer, A., and Bronstein, A.

   In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) 2021

   Bib

   @inproceedings{weiss2021joint,
     bibtex_show = {true},
     abbr = {MLSP},
     title = {Joint optimization of system design and reconstruction in MIMO radar imaging},
     author = {Weiss, T. and Peretz, N. and Vedula, S. and Feuer, A. and Bronstein, A.},
     booktitle = {2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)},
     pages = {1--6},
     year = {2021},
     organization = {IEEE}
   }

4. MSML

   Spectral Geometric Matrix Completion

   Boyarski, A.,  Vedula, S., and Bronstein, A.

   In Proceedings of the Second Mathematical and Scientific Machine Learning Conference (MSML), 2021

   Bib

   @inproceedings{boyarski2021spectral,
     bibtex_show = {true},
     abbr = {MSML},
     title = {Spectral Geometric Matrix Completion},
     author = {Boyarski, A. and Vedula, S. and Bronstein, A.},
     booktitle = {Proceedings of the Second Mathematical and Scientific Machine Learning Conference (MSML),},
     year = {2021},
     selected = {true}
   }

2020

1. MICCAI-W

   3D FLAT-Feasible Learned Acquisition Trajectories for Accelerated MRI

   Alush-Aben, J., Ackerman, L., Weiss, T.,  Vedula, S., Senouf, O., and Bronstein, A.

   In International Workshop on Machine Learning for Medical Image Reconstruction, MICCAI, 2020

   Bib

   @inproceedings{alush20203d,
     bibtex_show = {true},
     abbr = {MICCAI-W},
     title = {3D FLAT-Feasible Learned Acquisition Trajectories for Accelerated MRI},
     author = {Alush-Aben, J. and Ackerman, L. and Weiss, T. and Vedula, S. and Senouf, O. and Bronstein, A.},
     booktitle = {International Workshop on Machine Learning for Medical Image Reconstruction, MICCAI,},
     year = {2020}
   }

2. CDMRI

   Towards learned optimal q-space sampling in diffusion MRI

   Weiss, T.,  Vedula, S., Senouf, O., Michailovich, O., and Bronstein, A.

   In Computational Diffusion MRI, 2020

   Bib

   @inproceedings{weiss2020towards,
     bibtex_show = {true},
     abbr = {CDMRI},
     title = {Towards learned optimal q-space sampling in diffusion MRI},
     author = {Weiss, T. and Vedula, S. and Senouf, O. and Michailovich, O. and Bronstein, A.},
     booktitle = {Computational Diffusion MRI,},
     year = {2020},
     publisher = {Springer International Publishing},
     address = {Cham},
     pages = {13--28}
   }

3. ICASSP

   Joint learning of Cartesian undersampling and reconstruction for accelerated MRI

   Weiss, T.,  Vedula, S., Senouf, O., Bronstein, A., Michailovich, O., and Zibulevsky, M.

   In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

   Bib

   @inproceedings{weiss2019joint,
     bibtex_show = {true},
     abbr = {ICASSP},
     title = {Joint learning of Cartesian undersampling and reconstruction for accelerated MRI},
     author = {Weiss, T. and Vedula, S. and Senouf, O. and Bronstein, A. and Michailovich, O. and Zibulevsky, M.},
     booktitle = {ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),},
     year = {2020}
   }

4. Technion

   Learning-based design of ultrasound imaging systems

   Vedula, S., Bronstein, A., and Zibulevsky, M.

   M.Sc. Thesis, Computer Science Department, Technion 2020

   Bib

   @article{vedula2020learning,
     bibtex_show = {true},
     abbr = {Technion},
     title = {Learning-based design of ultrasound imaging systems},
     author = {Vedula, S. and Bronstein, A. and Zibulevsky, M.},
     year = {2020},
     journal = {M.Sc. Thesis, Computer Science Department, Technion}
   }

2019

1. MIDL

   Learning beamforming in ultrasound imaging

   Vedula, S., Senouf, O., Zurakhov, Grigoriy, Bronstein, A., Michailovich, O., and Zibulevsky, M.

   In Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning (MIDL), 2019

   Bib PDF

   @inproceedings{vedula2018learning,
     bibtex_show = {true},
     abbr = {MIDL},
     title = {Learning beamforming in ultrasound imaging},
     author = {Vedula, S. and Senouf, O. and Zurakhov, Grigoriy and Bronstein, A. and Michailovich, O. and Zibulevsky, M.},
     booktitle = {Proceedings of The 2nd International Conference on Medical Imaging with Deep Learning (MIDL),},
     pages = {493--511},
     year = {2019},
     editor = {Cardoso, M. Jorge and Feragen, Aasa and Glocker, Ben and Konukoglu, Ender and Oguz, Ipek and Unal, Gozde and Vercauteren, Tom},
     volume = {102},
     series = {Proceedings of Machine Learning Research},
     publisher = {PMLR},
     pdf = {http://proceedings.mlr.press/v102/vedula19a/vedula19a.pdf},
     url = {https://proceedings.mlr.press/v102/vedula19a.html}
   }

2. MICCAI-W

   Self-supervised learning of inverse problem solvers in medical imaging

   Senouf, O.,  Vedula, S., Weiss, T., Bronstein, A., Michailovich, O., and Zibulevsky, M.

   In Domain adaptation and representation transfer and medical image learning with less labels and imperfect data, MICCAI, 2019

   Bib

   @inproceedings{senouf2019self,
     bibtex_show = {true},
     abbr = {MICCAI-W},
     title = {Self-supervised learning of inverse problem solvers in medical imaging},
     author = {Senouf, O. and Vedula, S. and Weiss, T. and Bronstein, A. and Michailovich, O. and Zibulevsky, M.},
     booktitle = {Domain adaptation and representation transfer and medical image learning with less labels and imperfect data, MICCAI,},
     pages = {111--119},
     year = {2019},
     publisher = {Springer, Cham}
   }

2018

1. MICCAI

   High frame-rate cardiac ultrasound imaging with deep learning

   Senouf, O.,  Vedula, S., Zurakhov, G., Bronstein, A., Zibulevsky, M., Michailovich, O., Adam, Dan, and Blondheim, David

   In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018

   Bib

   @inproceedings{senouf2018high,
     bibtex_show = {true},
     abbr = {MICCAI},
     title = {High frame-rate cardiac ultrasound imaging with deep learning},
     author = {Senouf, O. and Vedula, S. and Zurakhov, G. and Bronstein, A. and Zibulevsky, M. and Michailovich, O. and Adam, Dan and Blondheim, David},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),},
     pages = {126--134},
     year = {2018},
     organization = {Springer}
   }

2. MICCAI-W

   High quality ultrasonic multi-line transmission through deep learning

   Vedula, S., Senouf, O., Zurakhov, G., Bronstein, A., Zibulevsky, M., Michailovich, O., Adam, D., and Gaitini, D.

   In International Workshop on Machine Learning for Medical Image Reconstruction, MICCAI, 2018

   Bib

   @inproceedings{vedula2018high,
     abbr = {MICCAI-W},
     bibtex_show = {true},
     title = {High quality ultrasonic multi-line transmission through deep learning},
     author = {Vedula, S. and Senouf, O. and Zurakhov, G. and Bronstein, A. and Zibulevsky, M. and Michailovich, O. and Adam, D. and Gaitini, D.},
     booktitle = {International Workshop on Machine Learning for Medical Image Reconstruction, MICCAI,},
     pages = {147--155},
     year = {2018},
     organization = {Springer}
   }

2017

1. arXiv

   Towards CT-quality ultrasound imaging using deep learning

   Vedula, S., Senouf, O., Bronstein, A. M, Michailovich, O. V, and Zibulevsky, M.

   arXiv preprint arXiv:1710.06304, 2017

   Bib

   @article{vedula2017towards,
     bibtex_show = {true},
     abbr = {arXiv},
     title = {Towards CT-quality ultrasound imaging using deep learning},
     author = {Vedula, S. and Senouf, O. and Bronstein, A. M and Michailovich, O. V and Zibulevsky, M.},
     journal = {arXiv preprint arXiv:1710.06304,},
     year = {2017}
   }