UNIfication enables PFDA by activating protocol fees. PFDA internalizes MEV through auctioned fee discounts.
Complementary approaches push this further by doing MEV inference and resolution in-transaction - making backruns and JIT routing atomic, deterministic, and no longer block-level MEV.
Presenting our #NeurIPS2025 work on model–behavior alignment today.
Could we even recognize the “right” model of behavior under flexible evaluation?
Come chat about DNNs & human visual perception!
Hall C-E #2010
Friday (today!) 4:30 – 7:30 PM
https://t.co/50wB5n3fie
@avitanit will be presenting at #NeurIPS2025 today!
If you're interested in how neural network representations may capture (or appear to capture...) human perceptual judgments, come say hi and chat!
Fri, Dec 5, 2025 • 4:30 PM – 7:30 PM PST
Exhibit Hall C-E #2010
Kudos to our NeurIPS 2025 reviewers for thoughtful, human-generated reviews. I’ll be presenting poster #2010 in San Diego on Fri, 5 Dec from 4:30–7:30 p.m. PT. Come say hi!
arXiv : https://t.co/gs1tmoR6i2
Code and data: https://t.co/xOMNcWst01
Excited to share my first paper: Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One (NeurIPS 2025). link below.
Our work reveals a sharp trade-off between predictive accuracy and model identifiability. Flexible mappings maximize predictivity, but blur the distinction between competing computational hypotheses.
We’re hiring in my dept. (IEM @ Ben-Gurion Univ.)! Tenure-track faculty opening in Robotics, Data/ML, Info Systems, Stats, Production Systems, or Human Factors.
https://t.co/5Us9JWQdB6 Please repost 🙏
Curious what work will be presented at this year's CCN conference? All accepted posters and papers are now listed on our website! https://t.co/50BoWII5Gi