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Workshop
The Next Symbol Prediction Problem: PAC-learning and its relation to Language Models
Satwik Bhattamishra · Phil Blunsom · Varun Kanade
Workshop
Representing Core-collapse Supernova Light Curves Analytically with Symbolic Regression
Kaylee de Soto · V Villar
Workshop
Plansformer: Generating Symbolic Plans using Transformers
Vishal Pallagani · Bharath Muppasani · Keerthiram Murugesan · Francesca Rossi · Lior Horesh · Biplav Srivastava · Francesco Fabiano · Andrea Loreggia
Workshop
Discovering Black Hole Mass Scaling Relations with Symbolic Regression
Zehao Jin · Benjamin Davis
Workshop
Expression Sampler as a Dynamic Benchmark for Symbolic Regression
Ioana Marinescu · Younes Strittmatter · Chad Williams · Sebastian Musslick
Workshop
A Transformer Model for Symbolic Regression towards Scientific Discovery
Florian Lalande · Yoshitomo Matsubara · Naoya Chiba · Tatsunori Taniai · Ryo Igarashi · Yoshitaka Ushiku
Workshop
Vertical AI-driven Scientific Discovery
Yexiang Xue
Workshop
Fri 12:40 Discrete, compositional, and symbolic representations through attractor dynamics
Andrew Nam · Eric Elmoznino · Nikolay Malkin · Chen Sun · Yoshua Bengio · Guillaume Lajoie
Workshop
Sat 13:30 The Interface for Symbolic Music Loop Generation Conditioned on Musical Metadata
Sangjun Han · Hyeongrae Ihm · Woohyung Lim
Workshop
Symbolic Learning for Material Discovery
Daniel Cunnington · Flaviu Cipcigan · Rodrigo Neumann Barros Ferreira · Jonathan Booth
Workshop
Fri 7:50 Discrete, compositional, and symbolic representations through attractor dynamics
Andrew Nam · Eric Elmoznino · Nikolay Malkin · Chen Sun · Yoshua Bengio · Guillaume Lajoie
Workshop
Fri 14:30 Invited Talk - Mechanisms of Symbol Processing for In-Context Learning in Transformers