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We are excited to invite you to the highly interactive virtual WOLVERINE 2021: “Workshop on Open Problems in Learning and Verification of Neural Networks”, which will be held on Monday, October 18, during ATVA 2021{:target="_blank"}.

The goal of WOLVERINE is to foster networking and active discussions with a hope to spark new interdisciplinary collaborations. WOLVERINE welcomes researchers in formal methods, machine learning, and their intersection.

Workshop Schedule

First hour: keynote talk. given by Prof. Sheila McIlraith.
Second hour: short invited talks. We will host 5 short invited talks (10-15min each). Each speaker will present their area of expertise in the intersection between formal methods and AI.
Third hour: round tables. Each speaker from the previous session will host a (virtual) table and moderate a discussion on the topic of his/her choice: we will discuss the challenges and open problems in the field and discuss novel approaches to tackle these challenges.
Fourth hour: poster session. Participants are invited to present their work (published or ongoing) in a poster session on Gather.town.

We have a terrific line-up of invited speakers:

Sheila McIlraith (University of Toronto, Canada): Keynote speaker.
Matthijs Spaan (TU Delft, The Netherlands): Safe Reinforcement Learning.
Ofra Amir (Technion, Israel): Explainable Artificial Intelligence.
Guy Katz (Hebrew University, Israel): Robustness.
Markus Rabe (Google): Neurosymbolic Methods.
Aws Albarghouthi (University of Wisconsin–Madison, USA): Fair Machine Learning.

More details: workshop webpage{:target="_blank"}

Registration costs: free of charge!

Registration: conference webpage{:target="_blank"}

Looking forward to seeing you on October 18!

Kind regards,
WOLVERINE Team
Anna Lukina, Guy Avni, Mirco Giacobbe, Christian Schilling