Zelda Mariet
Biopeptide (United States)(US)
Publications by Year
Research Areas
Point processes and geometric inequalities, Machine Learning and Data Classification, Markov Chains and Monte Carlo Methods, Stochastic Gradient Optimization Techniques, Gaussian Processes and Bayesian Inference
Most-Cited Works
- → Diversity Networks: Neural Network Compression Using Determinantal Point Processes(2015)50 cited
- Outlier Detection in Heterogeneous Datasets using Automatic Tuple Expansion(2016)
- → Plex: Towards Reliability using Pretrained Large Model Extensions(2022)38 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- → Foundations of Sequence-to-Sequence Modeling for Time Series(2018)24 cited
- → Fixed-point algorithms for learning determinantal point processes(2015)22 cited
- → Population-Based Black-Box Optimization for Biological Sequence Design(2020)15 cited
- Kronecker Determinantal Point Processes(2016)