Genetic code symmetry and efficient design of GC-constrained coding sequences. - Matan Gavish; Amnon Peled; Benny Chor (Bioinform., 2007)

Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. - Matan Gavish; Boaz Nadler; Ronald R. Coifman (ICML, 2010)

High-precision phrase-based document classification on a modern scale. - Ron Bekkerman; Matan Gavish (KDD, 2011)

A Universal Identifier for Computational Results. - Matan Gavish; David L. Donoho (ICCS, 2011)

Three Dream Applications of Verifiable Computational Results. - Matan Gavish; David L. Donoho (Comput. Sci. Eng., 2012)

The Maximum Entropy Relaxation Path. - Moshe Dubiner; Matan Gavish; Yoram Singer (CoRR, 2013)

The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising - David L. Donoho; Matan Gavish; Andrea Montanari (CoRR, 2013)

Dream applications of verifiable computational results. - Matan Gavish; David L. Donoho; Amos Onn (XRDS, 2013)

Normalized Cuts Are Approximately Inverse Exit Times. - Matan Gavish; Boaz Nadler (SIAM J. Matrix Anal. Appl., 2013)

The Optimal Hard Threshold for Singular Values is (4/ sqrt {3} ). - Matan Gavish; David L. Donoho (IEEE Trans. Inf. Theory, 2014)

Optimal Shrinkage of Singular Values Under Random Data Contamination. - Danny Barash; Matan Gavish (NIPS, 2017)

Random Subsets of Structured Deterministic Frames have MANOVA Spectra. - Marina Haikin; Ram Zamir; Matan Gavish (CoRR, 2017)

Near-optimal matrix recovery from random linear measurements. - Elad Romanov; Matan Gavish (CoRR, 2017)

Optimal Shrinkage of Singular Values. - Matan Gavish; David L. Donoho (IEEE Trans. Inf. Theory, 2017)

Frame Moments and Welch Bound with Erasures. - Marina Haikin; Ram Zamir; Matan Gavish (ISIT, 2018)

The Noise-Sensitivity Phase Transition in Spectral Group Synchronization Over Compact Groups. - Elad Romanov; Matan Gavish (CoRR, 2018)

Optimal Strategies Against Generative Attacks. - Roy Mor; Erez Peterfreund; Matan Gavish; Amir Globerson (ICLR, 2020)

Automated Evaluation of Human Embryo Blastulation and Implantation Potential using Deep-Learning. - Yoav Kan-Tor; Nir Zabari; Ity Erlich; Adi Szeskin; Tamar Amitai; Dganit Richter; Yuval Or; Zeev Shoham; Arye Hurwitz; Iris Har-Vardi; Matan Gavish; Assaf Ben-Meir; et al. (Adv. Intell. Syst., 2020)

LOCA: LOcal Conformal Autoencoder for standardized data coordinates. - Erez Peterfreund; Ofir Lindenbaum; Felix Dietrich; Tom Bertalan; Matan Gavish; Ioannis G. Kevrekidis; Ronald R. Coifman (CoRR, 2020)

The science of deep learning. - Richard G. Baraniuk; David L. Donoho; Matan Gavish (Proc. Natl. Acad. Sci. USA, 2020)

Asymptotic Frame Theory for Analog Coding. - Marina Haikin; Matan Gavish; Dustin G. Mixon; Ram Zamir (Found. Trends Commun. Inf. Theory, 2021)

Matrix Denoising with Partial Noise Statistics: Optimal Singular Value Shrinkage of Spiked F-Matrices. - Matan Gavish; William E. Leeb; Elad Romanov (CoRR, 2022)

Smartphone Lidar Reliably Estimates Leaf Nitrogen Concentration and Shoot Biomass on Leafy Vegetable Crops. - Aravind Harikumar; Itamar Shenhar; Miguel R. Pebes-Trujillo; Qin Lin; Menachem Moshelion; Jie He; Kee Woei Ng; Matan Gavish; Ittai Herrmann (IGARSS, 2024)