Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences. - Andis Draguns; Emils Ozolins; Agris Sostaks; Matiss Apinis; Karlis Freivalds (AAAI, 2021)

Goal-Aware Neural SAT Solver. - Emils Ozolins; Karlis Freivalds; Andis Draguns; Eliza Gaile; Ronalds Zakovskis; Sergejs Kozlovics (IJCNN, 2022)

Unsupervised Training for Neural TSP Solver. - Eliza Gaile; Andis Draguns; Emils Ozolins; Karlis Freivalds (LION, 2022)

Gates Are Not What You Need in RNNs. - Ronalds Zakovskis; Andis Draguns; Eliza Gaile; Emils Ozolins; Karlis Freivalds (ICAISC (1), 2023)

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

Mitigating the Problem of Strong Priors in LMs with Context Extrapolation. - Raymond Douglas; Andis Draguns; Tomas Gavenciak (CoRR, 2024)

Limitations of Agents Simulated by Predictive Models. - Raymond Douglas; Jacek Karwowski; Chan Bae; Andis Draguns; Victoria Krakovna (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)

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. - Divyansh Garg; Shaun VanWeelden; Diego Caples; Andis Draguns; Nikil Ravi; Pranav Putta; Naman Garg; Tomas Abraham; Michael Lara; Federico Lopez; James Liu; Atharva Gundawar; et al. (CoRR, 2025)