Pruning State Space Models with Model Order Reduction for Efficient Raw Audio Classification at EUSIPCO’25

Modeling Diagonal State Space Models as Electric Circuits for Analog Neural Network Inference at the 3rd workshop on "Deep Learning meets Neuromorphic…

Efficient and interpretable raw audio classification with diagonal state space models at ECMLPKDD’25

At the Europe-Korea Conference on Science and Technology in Vienna, our ALS team held talks and invited participants to demonstrations in our lab.

Diagonal State Space Models for efficient MIDI-to-RAW Audio Synthesis at DAFx25

Daniel Sliwowski presented and demonstrated REASSEMBLE at RSS 2025 in Los Angeles.

Prof. Dongheui Lee gave a keynote at ICRA 2025.

One of our recent works received a RAL 2024 Paper Award – Honorable Mention.

Prof. Dongheui Lee gave a keynote at ICRA@40, 2024.

Our REASSEMBLE dataset for contact-rich, long-horizon assembly and disassembly tasks is now available.