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Keynote: Solving Hard Database Optimization Problems via Digital and Quantum Annealing
Surrogate Modeling and Active Learning for Optimization | Fireside Chat with Dr. Bobby Gramacy
Quantitative Affinity Data at Scale: Addressing the Data Bottleneck in AI-Enabled Protein Design
339 - Surrogate Optimization explained using simple python code
Prioritizing Test Inputs for Deep Neural Networks via Mutation Analysis
OSDI '26 - StriaTrace: Efficient Tracing and Diagnosis for Online LLM Inference
Dr. Lida Kouhalvandi - 09/08/23 - Multi-objective Optimizations with DNNs for Enhancing Performances
Operation is the Hardest Teacher: Estimating DNN Accuracy Looking for Mispredictions
ESEC/FSE 2020 - Is Neuron Coverage a Meaningful Metric for Testing Deep Neural Networks (Full)
Active Learning for Efficient Deep Learning Surrogates — S. Dymchenko PhD Defence | 2026 INRIA & UGA
Before the Assay: Using Computational Applicability to Strengthen NAM Study Design
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Last Updated: September 30, 2026
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For more info on the Julia Programming Language, us on Twitter: twitter.com/JuliaLanguage and consider ... Thought Leader: Dr. Bobby Gramacy is a Professor of Statistics at Virginia Tech and a Fellow of the American Statistical ... Speaker: Dr. Lida Kouhalvandi Date: 09/08/2023 Title: Combination of Multi- APOLOGIES FOR ZOOM VIDEO PANEL OVER THE SLIDES TITLES !!!] Defence of Sofya Dymchenko's PhD thesis: "High ... Some of the most valuable study design decisions happen before an experiment begins. In the second webinar in the “Designing ...
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