Nataša Tagasovska

1. Generative Models for Simulating Mobility Trajectories
   2018/11/30 by Vaibhav Kulkarni, Kulkarni, Vaibhav, Nataša Tagasovska +5 · 3 citations
   Computer Science · Engineering · Social Sciences · #Data Management and Algorithms #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Traffic Prediction and Management Techniques
2. Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
   2022/11/07 by Romain Lopez, Lopez, Romain, Nataša Tagasovska +9 · 4 citations
   Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Gene expression and cancer classification #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics
3. BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
   2023/06/01 by Ji Won Park, Nataša Tagasovska, Park, Ji Won +7 · 3 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
4. Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
   2024/07/15 by Nataša Tagasovska, Ji Won Park, Tagasovska, Nataša +19 · 2 citations
   Medicine · Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Biosimilars and Bioanalytical Methods
5. A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
   2022/10/19 by Nataša Tagasovska, Nathan C. Frey, Tagasovska, Nataša +21 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms #vaccines and immunoinformatics approaches
6. Single-Model Uncertainties for Deep Learning
   2018/11/02 by Nataša Tagasovska, Tagasovska, Natasa, David López-Paz +1 · 1 citation
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks