StatML Research Group

@stat-ml.bsky.social

International research group at @uniuef focusing on AI and RL. Topics include deepfake detection, LLMs, RecSystems, superalignment, speaker recognition, and multi-agent RL. Advancing trustworthy, human-aligned AI. More info coming soon!

Belated congratulations to Dr Federico Malato, one of the most active members of our StatML group, on earning his PhD on 15 Dec 2025! 👏🚀🎉 His dissertation explores retrieval learning hybrid agents: using a memory module + search to actively recall past experiences and improve decision making.

Doctoral defence of Federico Malato, MSc, 15.12.2025: Enhancing decision making with retrieval-learning hybrid agents

MSc Federico Malato's doctoral dissertation explores a novel approach to augment decisions made by autonomous agents via active recall of past experiences.

uef.fi

🧵 ICASSP 2026 update: two papers involving StatML members have been accepted. 🎉 One on targeted fine tuning for DNN based wireless receivers using influence functions, and one on generalizable speech deepfake detection via meta learned LoRA. Huge congratulations to all authors! 🙌

Our paper “Zero-shot World Models via Search in Memory” (by F. Malato & @villeh.bsky.social) was accepted to #NeurIPS2025! 🎉 A training-free world model predicting dynamics via memory search. Poster: Exhibit Hall C,D,E on Wed 3 Dec 4:30–7:30 PM PST 🔗 arxiv.org/abs/2510.16123 See you in San Diego!

Zero-shot World Models via Search in Memory

World Models have vastly permeated the field of Reinforcement Learning. Their ability to model the transition dynamics of an environment have greatly improved sample efficiency in online RL. Among the...

arxiv.org

Hello BlueSky! We're StatML, the Statistical Machine Learning research group at the University of Eastern Finland. We study AI and Reinforcement Learning from multiple perspectives. Our website is launching soon, and we can’t wait to share more about our work!