Real-Time Anomaly Detection for Multivariate Data Stream
The paper titled “Probabilistic reasoning for streaming anomaly detection” from MIT CSAIL proposed a framework for performing online anomaly detection on univariate data.
(Reading: 82 minutes)
Paper Summary: LMU vs LSTM
Both HMM and RNN suffer from disappearing transitions and (vanishing \& exploding) gradient problems, respectively.
(Reading: 17 minutes)
Review of NeurIPS (AABI) Workshop
I attended the [Symposium on Approximate Bayesian Inference](http://approximateinference. org/), [Black in AI](https://blackinai
(Reading: 27 minutes)
Fake news: An exploratory dive into ways to identify misinformation in a network
Fake news is a false piece of information that was purposely created to deceive a person. The effect on a single individual can be devastating, however, modern trends show that actors are deploying fake news on a large scale to influence a group of users
(Reading: 82 minutes)
PySmooth: A time series library from first principles
This blog post is the culmination of several technical talks given at the Python Conference (Singapore) in 2018 and a meetup session held in Vancouver titled “Tracking the Tracker: Time Series Analysis in Python from first principles”.
(Reading: 87 minutes)
Fairness meets Adversarial attack
This article is written as an attempt to provide an intuitive explanation of the connectedness between fairness and adversarial attacks.
(Reading: 48 minutes)
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