Dimitrios Alivanistos

@[email protected]
17 Followers
15 Following
6 Posts

AI PhD Candidate @VUAmsterdam @DiscoveryLab @L&R

Scientific Hypotheses Generation for advancing scientific discovery. Into Graphs and ML.

Scholarhttps://scholar.google.nl/citations?user=snZnIqEAAAAJ&hl=en&authuser=1&oi=sra
Dimitrios AlivanistosNov 13, 2022
Erik ArakelyanNov 12, 2022
#introduction

I'm a 2nd-year PhD student at UCPH supervised by @isa and @pminervini
My research focuses in the topics of Knowledge Graph optimizations and Explainability in NLP. I am particularly interested in Complex Query Answering along Knowledge Graphs, Multi-hop reasoning and abstractive explainability. #xai #logic #reasoning #nlp
I am a former tech-lead at ARM and love discussing all things software as well :)
Dimitrios AlivanistosNov 9, 2022

Just attended BNAIC 2022.

Met a bunch of cool people and mostly tried to connect using Mastodon instead of Twitter. What a time to be alive huh?

Dimitrios AlivanistosNov 8, 2022
On my way to BNAIC 2022 to present our ICLR (2022) paper on Hyper-Relational Query Embeddings with StarQE.
Hoping for some awesome and inspiring chats!
Dimitrios AlivanistosNov 8, 2022
Xander WilckeNov 7, 2022

Hi everyone! Let me give a brief #introduction of myself.

I am a postdoc in the Learning and Reasoning group at the Vrije Universiteit Amsterdam, with an interest in geometric, multimodal, and neurosymbolic machine learning on knowledge graphs and other complex structures.

Looking forward to future discussions with the people here!

#deeplearning #machinelearning #knowledgegraphs #neurosymbolic #ai

Dimitrios AlivanistosNov 7, 2022

My first #introduction toot 😂 !
Hi, I'm a PhD candidate at the VU Amsterdam.
I'm interested in combining ML and specifically Graph ML approaches with background knowledge to predict novel, viable and interesting research hypotheses to investigate and propose research directions. Also into biomedical AI and apply my research on problems such as interaction prediction (DDI, DTI) and more.

#ai #machinelearning #deeplearning #graphml #bioinformatics #cheminformatics #scientificdiscovery