Capsule networks for low-data transfer learning. - Andrew Gritsevskiy; Maksym Korablyov (CoRR, 2018)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

Inverse Scaling: When Bigger Isn't Better. - Ian R. McKenzie; Alexander Lyzhov; Michael Pieler; Alicia Parrish; Aaron Mueller; Ameya Prabhu; Euan McLean; Aaron Kirtland; Alexis Ross; Alisa Liu; Andrew Gritsevskiy; Daniel Wurgaft; et al. (Trans. Mach. Learn. Res., 2023)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)

Unelicitable Backdoors via Cryptographic Transformer Circuits. - Andis Draguns; Andrew Gritsevskiy; Sumeet Ramesh Motwani; Christian Schröder de Witt (NeurIPS, 2024)

REBUS: A Robust Evaluation Benchmark of Understanding Symbols. - Andrew Gritsevskiy; Arjun Panickssery; Aaron Kirtland; Derik Kauffman; Hans Gundlach; Irina Gritsevskaya; Joe Cavanagh; Jonathan Chiang; Lydia La Roux; Michelle Hung (CoRR, 2024)

Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits. - Andis Draguns; Andrew Gritsevskiy; Sumeet Ramesh Motwani; Charlie Rogers-Smith; Jeffrey Ladish; Christian Schröder de Witt (CoRR, 2024)

SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration. - Joseph M. Cavanagh; Kunyang Sun; Andrew Gritsevskiy; Dorian Bagni; Thomas D. Bannister; Teresa Head-Gordon (CoRR, 2024)

SynLlama: Generating Synthesizable Molecules and Their Analogs with Large Language Models. - Kunyang Sun; Dorian Bagni; Joseph M. Cavanagh; Yingze Wang; Jacob M. Sawyer; Andrew Gritsevskiy; Teresa Head-Gordon (CoRR, 2025)