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Research in Collective Intelligence, Machine Learning and Biorobotics at Free University Berlin
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Author: Tim Landgraf

Paper Discussion: Why Normalizing Flows Fail to Detect Out-of-Distribution Data.

February 19, 2021Tim Landgraf

Oana Juiliana Popescu – https://arxiv.org/pdf/2006.08545.pdf

Journal Club

Paper Discussion: World Models

February 4, 2021Tim Landgraf

Maximilian Granz – https://openreview.net/forum?id=S1lOTC4tDS

Journal Club

Paper Discussion: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

January 24, 2020Tim Landgraf

Tarek Beutler – https://arxiv.org/abs/1803.03635

Journal Club

Paper Discussion: When Explanations Lie: Why Modified BP Attribution Fails

January 10, 2020Tim Landgraf

Leon Sixt – https://arxiv.org/abs/1912.09818

Journal Club

Paper Discussion: DeepProbLog: Neural Probabilistic Logic Programming

December 13, 2019Tim Landgraf

Chiara Lakomski – http://papers.nips.cc/paper/7632-deepproblog-neural-probabilistic-logic-programming.pdf

Journal Club

Paper Discoussion: Improving Generalization in Meta Reinforcement Learning Using Learned Objectives

November 29, 2019Tim Landgraf

Maximilian Granz – https://arxiv.org/abs/1910.04098

Journal Club

TV report: Tim gives talk on RoboFish and BeeCharge

November 22, 2019Tim Landgraf

The TV network “Bayerischer Rundfunk” records short science talks in Berlin’s famous “Roter Salon” and broadcasts them on ARD alpha. Tim told the audience about the RoboFish project (how we can make robot fish “learn” in real-time from interactions with… Continue Reading →

Biorobotics in the Media, General, News, Project in the Media, RoboFish, Talks and Presentations

Paper Discussion: Learning Robust Representations via Multi-View Information Bottleneck

November 22, 2019Tim Landgraf

Leon Sixt – https://openreview.net/forum?id=B1xwcyHFDr

Journal Club

Paper Discussion: Creative GANs

November 8, 2019Tim Landgraf

Chiara Lakomski – https://arxiv.org/abs/1706.07068

Journal Club

BeesBook Multiplication

November 4, 2019Tim Landgraf

Over the years, we have perfected our bee tracking system “BeesBook” and altough we haven’t really advertised, a few bee (and ant) people have approached us for help setting up BeesBook systems in Germany, Australia, China and the USA. If… Continue Reading →

BeesBook, General, News beesbook

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  • Paper Discussion: Why Normalizing Flows Fail to Detect Out-of-Distribution Data.
  • Paper Discussion: World Models
  • Paper Discussion: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
  • Paper Discussion: When Explanations Lie: Why Modified BP Attribution Fails
  • Paper Discussion: DeepProbLog: Neural Probabilistic Logic Programming

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