We still have free slots in our KIT summer semester 2025 seminar on "Large Language Model-Enhanced Representation Learning for Knowledge Graphs" supervised by @GenAsefa, Mary Ann Tan and @lysander07

https://portal.wiwi.kit.edu/ys/8600

#teaching #knowledgegraphs #llms #generativeai #representationlearning #seminar @fiz_karlsruhe @KIT_Karlsruhe #AI

Gentle Introduction to Graph Neural Networks
https://distill.pub/2021/gnn-intro/
https://news.ycombinator.com/item?id=42468214
https://en.wikipedia.org/wiki/Graph_neural_network

* specialized artificial neural networks designed for tasks whose inputs are graphs
* GNN use pairwise message passing
* graph nodes iteratively update their representations by exchanging information w. their neighbors

#ML #ANN #NeuralNetworks #graphs #GraphNeuralNetworks #GNN #RepresentationLearning

'Desiderata for Representation Learning: A Causal Perspective', by Yixin Wang, Michael I. Jordan.

http://jmlr.org/papers/v25/21-107.html

#representationlearning #representations #representation

In today's #ise2023 lecture, we discussed neural networks, from the very simply McCulloch-Pitts Neuron up to Convolutional Neural Networks and Generative Adversarial Networks. A lot of content for only 90 minutes of lecture ;-)
Slides: https://drive.google.com/file/d/1KsAGBViEzu7UDkz-F2QJJJ23ce-AQ9pl/view?usp=drive_link
#machinelearning #deeplearning #representationlearning #knowledgegraphs #graphembeddings #embeddings #lecture @fizise @enorouzi #aiart #stablediffusionart

Eight challenges in developing theory of intelligence
https://arxiv.org/abs/2306.11232

A good theory of mathematical beauty is more practical than any current observation, as new predictions of physical reality can be verified self-consistently. This belief applies to the current status of understanding deep neural networks including large language models and even the biological intelligence.

#intelligence #ArtificialIntelligence #RepresentationLearning #LLM #ToyModels #modeling #MathematicalModeling

Hi everybody #introduction, this is FIZ ISE (Information Service Engineering) research group at #FIZKarlsruhe and #AIFB/KIT, switching from the birdcage to this lovely new environment. We will be tooting about our latest research in #semanticweb #knowledgegraph #deeplearning #knowledgeextraction #researchdatamanagement #representationlearning #semanticsearch #exploratorysearch and many more.

Application areas: #culturalheritage #digitalhumanities #materialsscience
#datascience #mathematics #ai

Hi everyone!

I'm a PhD student in the Learning and Reasoning group at the VU Amsterdam.

I'm interested in the intersection between RL and causality. Specifically, my research interests include: model-based RL, causal discovery, causal inference, and representation learning.

Curious to meet you all here.

#Introduction #rl #mbrl #causality #machinelearning #representationlearning #ai

Looking to follow (and be followed!) #mlbio #bioml #biotech #bayes #bayesian #generativemodels #startup #startups #medicine #biology #representationlearning #techbio #immunology #neurips #icml #iclr #cambridge #nyc

Time for an #introduction I guess :)

I'm an assistant professor at VU Amsterdam in machine learning, with a focus on reinforcement learning and representation learning.

I don't post very often on social media but when I do it's usually about research.

I'm looking forward to seeing how Mastodon with its decentralized approach can take off!

#machinelearning, #reinforcementlearning, #representationlearning, #deeplearning