Probing the Pareto Frontier for Basis Pursuit Solutions. - Ewout van den Berg; Michael P. Friedlander (SIAM J. Sci. Comput., 2008)

Joint-sparse recovery from multiple measurements - Ewout van den Berg; Michael P. Friedlander (CoRR, 2009)

Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. - Mark Schmidt 001; Ewout van den Berg; Michael P. Friedlander; Kevin P. Murphy (AISTATS, 2009)

Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. - Ewout van den Berg; Michael P. Friedlander; Gilles Hennenfent; Felix J. Herrmann; Rayan Saab; Özgür Yilmaz (ACM Trans. Math. Softw., 2009)

Theoretical and empirical results for recovery from multiple measurements. - Ewout van den Berg; Michael P. Friedlander (IEEE Trans. Inf. Theory, 2010)

Sparse Optimization with Least-Squares Constraints. - Ewout van den Berg; Michael P. Friedlander (SIAM J. Optim., 2011)

A single-photon sampling architecture for solid-state imaging - Ewout van den Berg; Emmanuel J. Candès; Garry Chinn; Craig S. Levin; Peter D. Olcott; Carlos A. Sing-Long (CoRR, 2012)

1-Bit Matrix Completion - Mark A. Davenport; Yaniv Plan; Ewout van den Berg; Mary Wootters (CoRR, 2012)

Lower bounds for quantized matrix completion. - Mary Wootters; Yaniv Plan; Mark A. Davenport; Ewout van den Berg (ISIT, 2013)

Dictionary-based pitch tracking with dynamic programming. - Ewout van den Berg; Bhuvana Ramabhadran (INTERSPEECH, 2014)

Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling. - Stephen Moore 003; Devi Sudheer Chunduri; Sergiy Zhuk; Tigran T. Tchrakian; Ewout van den Berg; Albert Akhriev; Alberto Costa Nogueira Jr.; Andrew A. Rawlinson; Lior Horesh (Euro-Par, 2015)

Efficient GPU implementation of convolutional neural networks for speech recognition. - Ewout van den Berg; Daniel Brand; Rajesh Bordawekar; Leonid Rachevsky; Bhuvana Ramabhadran (INTERSPEECH, 2015)

Some Insights into the Geometry and Training of Neural Networks. - Ewout van den Berg (CoRR, 2016)

Training variance and performance evaluation of neural networks in speech. - Ewout van den Berg; Bhuvana Ramabhadran; Michael Picheny (ICASSP, 2017)

Estimating Information Flow in Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (CoRR, 2018)

The Ocean Tensor Package. - Ewout van den Berg (CoRR, 2018)

Estimating Information Flow in Deep Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (ICML, 2019)

Iterative quantum phase estimation with optimized sample complexity. - Ewout van den Berg (QCE, 2020)

A hybrid quasi-Newton projected-gradient method with application to Lasso and basis-pursuit denoising. - Ewout van den Berg (Math. Program. Comput., 2020)

Circuit optimization of Hamiltonian simulation by simultaneous diagonalization of Pauli clusters. - Ewout van den Berg; Kristan Temme (Quantum, 2020)

A simple method for sampling random Clifford operators. - Ewout van den Berg (QCE, 2021)

Efficient Bayesian phase estimation using mixed priors. - Ewout van den Berg (Quantum, 2021)

Evidence for the utility of quantum computing before fault tolerance. - Youngseok Kim; Andrew Eddins; Sajant Anand; Ken Xuan Wei; Ewout van den Berg; Sami Rosenblatt; Hasan Nayfeh; Yantao Wu; Michael Zaletel; Kristan Temme; Abhinav Kandala (Nat., 2023)

Techniques for learning sparse Pauli-Lindblad noise models. - Ewout van den Berg; Pawel Wocjan (Quantum, 2024)