Guy Bar-Shalom
@GuyBarSh
ML PhD student @TechnionLive - Learning under symmetries | Ex Research Intern @Verily Working with @HaggaiMaron
📢 Introducing: Learning on LLM Output Signatures for Gray-box LLM Behavior Analysis [arxiv.org/pdf/2503.14043] A joint work with @ffabffrasca (co-first author) and our amazing collaborators: @dereklim_lzh @yoav_gelberg @YftahZ @el_yaniv @GalChechik @HaggaiMaron 🧵Thread
“Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality” is at #ICML2025! Drop by our poster on Tuesday 11:00–13:30, East Exhib. Hall A-B # E-3005. Joint work w/ @JoshSouthern13 @ytn_ym @GuyBarSh @mmbronstein @HaggaiMaron arxiv.org/abs/2501.03113 🧵
Proud to see our work honored with @neur_reps best paper award! This was a joint work with @ytn_ym, and a collaboration with @ffabffrasca @HaggaiMaron
The best paper award for the Topology and Graphs track goes to "Efficient Subgraph GNNs via Graph Products and Coarsening," presented by @GuyBarSh.
Our last contributed talk is from @GuyBarSh on "Efficient Subgraph GNNs via Graph Products and Coarsening".