Papers & Preprints

OmniCode: A Benchmark for Evaluating Software Development Agents
Atharv Sonwane, Eng-Shen Tu, Claas Beger, Wei-Chung Lu, Carter Larsen, Debjit Dhar, Simon Alford, Rachel Chen, Ronit Pattanayak, Tuan Anh Dang, Guohao Chen, Gloria Geng, Kevin Ellis, Saikat Dutta
Preprint, 2026 [arxiv]

Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis
ICLR, 2025. ARC Prize 2024 Best Paper Award [arxiv] [ARC Prize]

InceptionSR: Recursive Symbolic Regression for Equation Synthesis
Edward Gu, Simon Alford, Omar Costilla-Reyes, Miles Cranmer, Kevin Ellis
AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), 2025 [pdf]

Desiderata for Abstraction
Simon Alford, Zenna Tavares, Kevin Ellis
ICML Workshop "Beyond Bayes", 2022 [pdf]

Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning
Simon Alford, Anshula Gandhi, Akshay Rangamani, Andrzej Banburski, Tony Wang, Sylee Dandekar, John Chin, Tomaso A. Poggio, Peter Chin
Complex Networks, 2021 [arxiv]

A Neurosymbolic Approach to Abstraction and Reasoning
Simon Alford
M.Eng. Thesis, MIT, 2021 [pdf]

Dreaming with ARC
Andrzej Banburski, Anshula Gandhi, Simon Alford, Sylee Dandekar, Peter Chin, Tomaso A. Poggio
NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA), 2020 [pdf]

Training Behavior of Sparse Neural Network Topologies
Simon Alford, Ryan Robinett, Lauren Milechin, Jeremy Kepner
IEEE HPEC, 2019. Best Paper Award [pdf]

Sparse Deep Neural Network Graph Challenge
Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan Robinett, Sid Samsi
IEEE HPEC, 2019 [pdf]