talks

This is a list of recent talks.

G-Research , London, UK
Apr 2025 Virtual
xLSTM: New Architectures for Large Language Models
Presented several papers from our xLSTM line of work at G-Research, including xLSTM, TFLA, FlashRNN and xLSTM 7B.
ploutos.dev
Apr 2025 Virtual
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
Online presentation for the ploutos.dev platform. Recording.
Guest Lecture , FAU, Erlangen-Nuremberg
Jan 2025 Virtual
xLSTM: Extended Long Short-Term Memory
Guest Lecture at FAU Erlangen Nuremberg in the Machine Learning for Time Series Course.
Machine Learning Week Europe , Munich, Germany
Nov 2024
xLSTM: New Architectures for Large Language Models
Opening Keynote at Machine Learning Week Europe 2024.
Meta
Sep 2024 Virtual
xLSTM: Extended Long Short-Term Memory
Invited talk in the Monetization AI Speaker Series at Meta.
ALR@KIT , Karlsruhe, Germany
Sep 2024
xLSTM: Extended Long Short-Term Memory
Invited talk in the internal resarch seminar of Autonomous Learning Lab (ALR) at KIT.
Institute of Science and Technology Austria
Aug 2024
xLSTM: Extended Long Short-Term Memory
Invited Talk in the ELLIS Seminar of the Institute of Science and Technology Austria (ISTA).
Google Research
Aug 2024 Virtual
xLSTM: Extended Long Short-Term Memory
Invited Talk in the NLP Seminar of Google Research.
ES-FoMo@ICML24 , Vienna
Jul 2024
xLSTM: Extended Long Short-Term Memory
Oral Presentation at ES-FoMo@ICML24 Workshop.
YouTube
Jul 2024 Virtual
xLSTM: Extended Long Short-Term Memory
Presented the xLSTM on 1littlecoder’s YouTube channel. Recording.
Helsinki, Finland
Jun 2024
xLSTM: Extended Long Short-Term Memory
Presented the xLSTM as an ELLIS PhD Spotlight presentation at ELISE Wrap Up Conference 2024.
Intel Labs
Jun 2024 Virtual
xLSTM: Extended Long Short-Term Memory
Invited Talk at internal seminar series.
Ruhr-University Bochum
Oct 2022 Virtual
SubGD: Few-Shot Learning by Dimensionality Reduction in Gradient Space. Presented our paper in an internal seminar.
PhD Seminar , IML JKU
May 2022
SubGD: Few-Shot Learning by Dimensionality Reduction in Gradient Space. My first PhD Talk in our internal PhD Seminar. Slides.