Summer school on Neurosymbolic Programming June 10-12 2024

Salem, Massachusetts, USA

The second edition of the Summer School in Neurosymbolic Programming is an event that will explore the fields of Program Synthesis and Machine Learning. This field focuses on developing models that integrate programmatic structures in machine learning models. The summer school is designed to assemble a diverse group of students and researchers interested in the latest advancements, practical applications, and research challenges within this domain.

The summer school is scheduled for June 10-12 in Salem, Massachusetts, USA, the event will feature a series of lectures and tutorials led by leaders in the field. Attendance is complimentary for all selected participants. Complemetary accommodation is limited and will be available to qualified graduate students on a first-come, first-served basis.

For those interested in participating, please complete the application form available at https://forms.gle/PBynteGevUwJPm6a8 by the deadline of May 6, 2024.

We are pleased to announce the following confirmed speakers:

• Professor Jesse Thaler, Massachusetts Institute of Technology (MIT)
• Professor Sean Welleck, Carnegie Mellon University (CMU)
• Professor Mayur Naik, University of Pennsylvania
• Professor Isil Dillig, University of Texas at Austin
• Professor Vikash Mansinghka, Massachusetts Institute of Technology (MIT)
• Professor Baishakhi Ray, Columbia University
• Dr. Zenna Tavares, Basis AI
• Professor Swarat Chaudhuri, University of Texas at Austin
• Professor Armando Solar-Lezama, Massachusetts Institute of Technology (MIT)
• Dr. Tom Silver, Massachusetts Institute of Technology (MIT)

Schedule TBA

All summer school participants were expected to abide by the Summer School Code of Conduct