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09/06/2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents
We present an approach for interpreting a black-box alarming system for ...
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03/10/2022
Forecasting the abnormal events at well drilling with machine learning
We present a data-driven and physics-informed algorithm for drilling acc...
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07/23/2021
A Differentiable Language Model Adversarial Attack on Text Classifiers
Robustness of huge Transformer-based models for natural language process...
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06/15/2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Neural architecture search (NAS) targets at finding the optimal architec...
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06/12/2020
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
Neural Architecture Search (NAS) is a promising and rapidly evolving res...
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06/06/2019
Failures detection at directional drilling using real-time analogues search
One of the main challenges in the construction of oil and gas wells is t...
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03/27/2019
Real-time data-driven detection of the rock type alteration during a directional drilling
During the directional drilling, a bit may sometimes go to a nonproducti...
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09/13/2018
Laplace Inference for Multi-fidelity Gaussian Process Classification
In this paper we address a classification problem where two sources of l...
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06/08/2018
