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In today’s blog post we discuss Representational Similarity Analysis (RSA), how it might improve our understanding of the brain as well as recent efforts by Samy Bengio’s and Geoffrey Hinton’s group to systematically study representations in Deep Learning architectures. So let’s get started!
Hola guapos! After finally deciding to stay in Berlin, I felt the desire to structure myself and to establish routines which are going to help me tackle the next phase of my life. Due to a fortunate visit to the National Gallery book store in London, I got to pick up Austin Kleon’s amazing piece of work “Steal Like an Artist”. A beautifully collected and visualized set of tricks to foster creativity.
Hey there! As some of you might know I have been quite actively contributing to the Data Science Barcelona GSE blog. Writing about technical topics and addressing a broad audience is challenging and fulfilling at the same time. I hope that this blog is going to help me learn to tell great narratives and influence people. So stay tuned!
I got accepted into the Science of Intelligence Excellence Cluster! Starting in October 2019 I will be working on the project “Learning of Intelligent Swarm Behavior” under the supervision of Henning Sprekeler and Pawel Romanczuk. I am very happy to receive such generous funding and support from the excellence cluster.
I am happy to announce that I will be giving a short talk at the ENCODS FENS PhD Symposium about the “Neural Suprise in Human Somatosensation” project I have been working on during my first ECN lab rotation together with Sam Gijsen, Miro Grundei, Dirk Ostwald and Felix Blankenburg. If you are interested in more details and the general paradigm, check out our GitRepo.
Bucharest - I am coming! Very happy to attend the Recent Advances in Artificial Intelligence from 28th to 30th of June. I will present my work on Deep Multi-Agent RL for swarm dynamics in a poster session. Furthermore, my work has also been selected to be presented at the super-duper awesome EEML summer school. Can’t wait to meet the hero of temporal abstractions Doina Precup and Mr “Policy Distillation” Andrei Rusu.
Published in UPF/UAB Public Online Repository, 2017
Barcelona GSE Masters Thesis which generalizes RandNLA to GLMs.
Recommended citation: Lange, Robert Tjarko. (2017). "Randomized Numerical Linear Algebra for Generalized Linear Models with Big Datasets." UPF/UAB Public Online Repository.
Published in Best (Applied) MAC/MRes/Specialism Project, Sponsored by Winton Capital at Imperial College London, 2018
Imperial College London Masters Thesis which provides a Context-Free Grammar based framework for learning temporal abstractions in Hierarchical Reinforcement Learning.
Recommended citation: Lange, Robert Tjarko. (2018). "Action Grammars: A Grammar Induction-Based Method for Learning Temporally-Extended Actions." Imperial College London - DoC - Best (Applied) MAC/MRes/Specialism Project 2018.
Published in Extended Abstract Submitted for EEML Application. The preliminary results outlined are very much work-in-progress and originated during a lab rotation from January to March of 2019 at Henning Sprekeler’s Lab at the TU Berlin., 2019
Extended Abstract of MARL framework for Gradient-Based Learning of Swarm Dynamics.
Recommended citation: Lange, Robert Tjarko. (2019). "Multi-Agent RL for Complex Swarm Dynamics." Do not cite. Preliminary work.