Tomer Galanti

I am an incoming Postdoctoral Associate at MIT, working with Prof. Tomaso Poggio at CBCL.
I recieved my Ph.D. from the School of Computer Science at Tel Aviv University, where I worked with Prof. Lior Wolf.
I currently work as a Research Scientist intern at the Theory and Foundations team at Google DeepMind.

Email:
Github: TomerGalanti
Google Scholar: Tomer Galanti
Tomer Galanti

Publications Awards Teaching

Publications

On Random Kernels of Residual Architectures
E. Littwin*, T. Galanti*, L. Wolf
Uncertainty in Artificial Intelligence (UAI), 2021.

Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
T. Galanti, S. Benaim, L. Wolf
Journal of Machine Learning Research (JMLR), 2021.

Evaluation Metrics for Conditional Image Generation
Y. Benny, T. Galanti, S. Benaim, L. Wolf
International Journal of Computer Vision (IJCV), 2021.

On the Modularity of Hypernetworks (oral presentation 1%)
T. Galanti, L. Wolf
Neural Information Processing Systems (NeurIPS), 2020.

On Infinite-Width Hypernetworks
E. Littwin*, T. Galanti*, L. Wolf, G. Yang
Neural Information Processing Systems (NeurIPS), 2020.

Domain Intersection and Domain Difference
S. Benaim, M. Khaitov, T. Galanti, L. Wolf
IEEE International Conference on Computer Vision (ICCV), 2019.

Unsupervised Learning of the Set of Local Maxima
L. Wolf, S. Benaim, T. Galanti
International Conference on Computer Vision (ICLR), 2019.

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
O. Press, T. Galanti, S. Benaim, L. Wolf
International Conference on Computer Vision (ICLR), 2019.

A Formal Approach to Explainability
L. Wolf, T. Galanti, T. Hazan
Artificial Intelligence, Ethics and Society (AIES), 2019.

Estimating the Success of Unsupervised Image to Image Translation
S. Benaim*, T. Galanti*, L. Wolf
IEEE European Conference on Computer Vision (ECCV), 2018.

The Role of Minimal Complexity in Unsupervised Learning of Semantic Mappings
T. Galanti, L. Wolf, S. Benaim
International Conference on Learning Representations (ICLR), 2018.

A Theoretical Framework for Deep Transfer Learning
T. Galanti, L. Wolf, T. Hazan
Information and Inference: A Journal of the IMA (IMAIAI), 2016.

Awards

Deutche Annual Prize in Computer Science, Tel Aviv University 2018

Teaching

Spring Semester 2020 -- Deep Convolutional Neural Networks. Meets Thursday 10:00-13:00. Tel Aviv Uni., Zoom

Spring Semester 2019 -- Deep Convolutional Neural Networks. Meets Thursday 10:00-13:00. Tel Aviv Uni., Dach Auditorium