Group

Mr. Moshe Eliasof (PhD - direct track)

Deep Learning for Graphs.

Mr. Shahaf Finder (PhD - direct track, joint supervision with Dr. Oren Freifeld)

Structured pruning and wavelet compression of convolutional neural networks.

Mr. Benjamin Bodner (MSc)

Deep learning in low precision.

Mr. Ido Ben-Yair (PhD - direct track)

Graph Neural Networks for Accelerating Physical Simulations on Unstructured Meshes.

Mr. Maor Ashkenazi (PhD)

Compression and compact representation of Deep Learning Models.

Mr. Matan Goren (PhD - direct track)

Physics-guided FWI using Multigrid-augomented CNNs.

Ms. Rachel Yovel (PhD)

Preconditioners for the elastic and acoustic Helmholtz equations.

Mr. Roi Mashiah (MSc, joint supervision with Dr. Tirza Routtenberg)

Graphical Signal Processing.

Mr. Yaniv Galron (MSc, joint supervision with Dr. Haggai Maron, Technion)

Graphical Neural Networks.

Mr. Shakked River (MSc, joint supervision with Dr. Tirza Routtenberg)

Graphical Signal Processing.

Ms. Tslil Sardam (MSc, joint supervision with Dr. Tirza Routtenberg)

Graphical Signal Processing.

Mr. Eshed Gal (MSc)

Alumni

Mr. Jonathan Ephrath (MSc)

Exploiting structured sparsity in deep neural networks.

Mr. Sagi Buchatsky (MSc)

Low-rank shource-extended full-waveform inversion.

Mr. Gil Ben-Shalom (MSc)

Deep learning in low precision.

Mrs. Yael Azulay (MSc)

Multigrid-augomented deep learning for the Helmholtz equation.

Ms. Sofi Feldman (MSc, joint supervision with Dr. Tal Shai)

Cross-spiecies normalization for genomic data.

Mr. Gal Shalom (MSc, joint supervision with Prof. Irad Yavneh, Technion)

Efficient solvers for Graphical LASSO.

Mr. Yair Zohav (MSc)

Wavelet Feature Maps Compression for Low Bandwidth Convolutional Neural Networks.

Mrs. Ruth Akiva-Hochman (MSc)

Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks.

Mr. Yakov Medvedovsky (MSc, joint supervision with Dr. Tirza Routenberg)

Efficient Graph Laplacian Estimation by a Proximal Newton Approach.

Mr. Bar Lerer (MSc)

Deep learning approaches for the Helmholtz equations.

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