Graphs and ML for Robotics
Data Skeptic4 Marras 2024

Graphs and ML for Robotics

We are joined by Abhishek Paudel, a PhD Student at George Mason University with a research focus on robotics, machine learning, and planning under uncertainty, using graph-based methods to enhance robot behavior. He explains how graph-based approaches can model environments, capture spatial relationships, and provide a framework for integrating multiple levels of planning and decision-making.

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Jaksot(601)

Voting Mechanisms

Voting Mechanisms

Steven Heilman joins us to discuss his paper Designing Stable Elections. For a general interest article, see: https://theconversation.com/the-electoral-college-is-surprisingly-vulnerable-to-popular-vo...

31 Elo 202027min

False Consensus

False Consensus

Sami Yousif joins us to discuss the paper The Illusion of Consensus: A Failure to Distinguish Between True and False Consensus. This work empirically explores how individuals evaluate consensus under ...

24 Elo 202033min

Fraud Detection in Real Time

Fraud Detection in Real Time

In this solo episode, Kyle overviews the field of fraud detection with eCommerce as a use case.  He discusses some of the techniques and system architectures used by companies to fight fraud with a fo...

18 Elo 202038min

Listener Survey Review

Listener Survey Review

In this episode, Kyle and Linhda review the results of our recent survey. Hear all about the demographic details and how we interpret these results.

11 Elo 202023min

Human Computer Interaction and Online Privacy

Human Computer Interaction and Online Privacy

Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.

27 Heinä 202032min

Authorship Attribution of Lennon McCartney Songs

Authorship Attribution of Lennon McCartney Songs

Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.

20 Heinä 202033min

GANs Can Be Interpretable

GANs Can Be Interpretable

Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing interpretable GAN controls video and it's accom...

11 Heinä 202026min

Sentiment Preserving Fake Reviews

Sentiment Preserving Fake Reviews

David Ifeoluwa Adelani joins us to discuss Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection.

6 Heinä 202028min

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