Dmitry Storcheus
Courant Institute of Mathematical Sciences(US)New York University(US)
Publications by Year
Research Areas
Sparse and Compressive Sensing Techniques, Machine Learning and Algorithms, Face and Expression Recognition, Neural Networks and Applications, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- A Survey of Modern Questions and Challenges in Feature Extraction.(2015)
- → Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling(2018)39 cited
- Regularized Gradient Boosting(2019)
- Agnostic learning with multiple objectives(2020)
- Foundations of Coupled Nonlinear Dimensionality Reduction(2015)
- The Sparse Recovery Autoencoder.(2018)
- → Pixel Rarity Score: Rarity Learned Directly From Pixel Data(2023)2 cited
- Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses(2018)
- Boosting with Multiple Sources(2021)