Rasmus Malik Høegh Lindrup @rasthh
ML Scientist at WSA, prev. PostDoc at UC Berkeley (BAIR), generative AI, variational inference mastodon: @[email protected] bluesky: @rmhl.bsky.social rasmusmhl.github.io Joined December 2013-
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Rasmus Malik Høegh Lindrup retweeted
New paper thread 🧵We present directional archetypal analysis (DAA) for directional unsupervised learning and apply it to functional neuroimaging data (with @rasthh, @jlhinrich, @k_h_madsen and @mortenmorup; at @CogSys). (1/…)
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Rasmus Malik Høegh Lindrup retweeted
Excited to present "Client Adaptation improves Federated Learning with Simulated Non-IID Clients" at the Federated Learning workshop at #ICML2020 on Saturday 3:35 pm (CEST). Work together w/ @rasthh and @Tweetteresearch arxiv.org/abs/2007.04806
Rasmus Malik Høegh Lindrup retweeted
Thanks to @DFF_raad for the impressive grants to DTU. Especially to #DTU_Compute professor @mortenmorup and his project ’Learning the Structure and Dynamics of Complex Networks’ that received 5,9 mio. DKK. #DFF #DTUtweet #complexnetworks compute.dtu.dk/nyheder/Nyhed?…
Rasmus Malik Høegh Lindrup retweeted
Want to help solve #ClimateChange? Here’s what #MachineLearning can do. Detailed recommendations for researchers, entrepreneurs, and public/private stakeholders. #ClimateChangeAI Full paper: arxiv.org/abs/1906.05433
Rasmus Malik Høegh Lindrup retweeted
Weight Agnostic Neural Networks 🦎 Inspired by precocial species in biology, we set out to search for neural net architectures that can already (sort of) perform various tasks even when they use random weight values. Article: weightagnostic.github.io PDF: arxiv.org/abs/1906.04358
Rasmus Malik Høegh Lindrup retweeted
A story of a Cortical Neuron as a Deep Artificial Neural Net: 1) Neurons in the brain are bombarded with massive synaptic input distributed across a large tree like structure - its dendritic tree. During this bombardment, the tree goes wild preprint: biorxiv.org/content/10.110…
Rasmus Malik Høegh Lindrup retweeted
Our new paper, “Reinforcement Learning, Fast and Slow”, reviews recent techniques in deep RL that narrow the gap in learning speed between humans and agents, & demonstrate an interplay between fast and slow learning w/ parallels in animal/human cognition: cell.com/trends/cogniti…
Rasmus Malik Høegh Lindrup retweeted
Forskningens Døgn about the Sound of Denmark, for which #DTU_Compute and #CogSys has developed AI, got high schools all over the country (via livestream) to compete about sound and AI. compute.dtu.dk/nyheder/nyhed?…
Rasmus Malik Høegh Lindrup retweeted
Come work with us - exiting new position as associate/assistant professor in machine learning and signal processing. Apply before 30 April. #cogsys #DTU_Compute dtu.dk/english/about/…
Rasmus Malik Høegh Lindrup retweeted
We need your help to repair Nepal's broken medical equipment, please donate! igg.me/at/-nv4wyP8-CQ .
We're not only repairing equipment - here brainstorming on how to improve the hospital with a "secondary project".
We visited the bazar to look for chili. We only wanted so few that we they just laughed at us and refused payment.
3rd day and we've helped a bird escape OT, been overtaken by old man on mtn side, and taken down rain filled buckets from monsoon hit attic.
Replacement capacitors and a nice view - apparently you cannot have both.
We arrived in Okhaldhunga, #Nepal. We found an old storage room full of equipment and stuff to do! Happy #engineers!
1st #EWHNepal2016 fix (by Patrick and Sara). A lamp had broken at VSN day care center for disabled children in K'du.
Last group picture before we split into smaller groups and go to hospitals all over Nepal. @EngWorldHlthDTU
Preparing for placements! Here visiting Dhulikhel Hospital - one of the best hospitals of Nepal! #EWHNepal2016
Collaboration with local hospital requires communication - were havin 3 hrs Nepali language class each day for 2 w!
Our #EWHNepal2016 team consists of engineering students from Finland, Norway, USA, Mexico, Denmark and Nepal!
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