Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. - Marta Skreta; Aryan Arbabi; Jixuan Wang; Michael Brudno (ML4H@NeurIPS, 2019)

Predicting Obstructive Hydronephrosis Based on Ultrasound Alone. - Lauren Erdman; Marta Skreta; Mandy Rickard; Carson McLean; Aziz Mezlini; Daniel T. Keefe; Anne-Sophie Blais; Michael Brudno; Armando J. Lorenzo; Anna Goldenberg (MICCAI (3), 2020)

3D Photography Based Neural Network Craniosynostosis Triaging System. - Pouria Mashouri; Marta Skreta; John Phillips; Dianna McAllister; Melissa Roy; Senthujan Senkaiahliyan; Michael Brudno; Devin Singh (ML4H@NeurIPS, 2020)

Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification. - Charles A. Kantor; Marta Skreta; Brice Rauby; Léonard Boussioux; Emmanuel Jehanno; Alexandra Luccioni; David Rolnick; Hugues Talbot (CoRR, 2021)

The silent trial - the bridge between bench-to-bedside clinical AI applications. - Jethro C. C. Kwong; Lauren Erdman; Adree Khondker; Marta Skreta; Anna Goldenberg; Melissa D. McCradden; Armando J. Lorenzo; Mandy Rickard (Frontiers Digit. Health, 2022)

Reinforcement learning supercharges redox flow batteries. - Yang Cao; Cher Tian Ser; Marta Skreta; Kjell Jorner; Nathanael Kusanda; Alán Aspuru-Guzik (Nat. Mach. Intell., 2022)

PhenoPad: Building AI enabled note-taking interfaces for patient encounters. - Jixuan Wang; Jingbo Yang; Haochi Zhang; Helen Lu; Marta Skreta; Mia Husic; Aryan Arbabi; Nicole Sultanum; Michael Brudno (npj Digit. Medicine, 2022)

SELFIES and the future of molecular string representations. - Mario Krenn; Qianxiang Ai; Senja Barthel; Nessa Carson; Angelo Frei; Nathan C. Frey; Pascal Friederich; Théophile Gaudin; Alberto Alexander Gayle; Kevin Maik Jablonka; Rafael F. Lameiro; Dominik Lemm; et al. (Patterns, 2022)

Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting. - Marta Skreta; Naruki Yoshikawa; Sebastian Arellano-Rubach; Zhi Ji; Lasse Bjørn Kristensen; Kourosh Darvish; Alán Aspuru-Guzik; Florian Shkurti; Animesh Garg (CoRR, 2023)

Large language models for chemistry robotics. - Naruki Yoshikawa; Marta Skreta; Kourosh Darvish; Sebastian Arellano-Rubach; Zhi Ji; Lasse Bjørn Kristensen; Andrew Zou Li; Yuchi Zhao; Haoping Xu; Artur Kuramshin; Alán Aspuru-Guzik; Florian Shkurti; et al. (Auton. Robots, 2023)

A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? - Agustinus Kristiadi; Felix Strieth-Kalthoff; Marta Skreta; Pascal Poupart; Alán Aspuru-Guzik; Geoff Pleiss (ICML, 2024)

Quantum Deep Equilibrium Models. - Philipp Schleich; Marta Skreta; Lasse Bjørn Kristensen; Rodrigo A. Vargas-Hernández; Alán Aspuru-Guzik (NeurIPS, 2024)

RePLan: Robotic Replanning with Perception and Language Models. - Marta Skreta; Zihan Zhou; Jia Lin Yuan; Kourosh Darvish; Alán Aspuru-Guzik; Animesh Garg (CoRR, 2024)

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization. - Kourosh Darvish; Marta Skreta; Yuchi Zhao; Naruki Yoshikawa; Sagnik Som; Miroslav Bogdanovic; Yang Cao; Han Hao; Haoping Xu; Alán Aspuru-Guzik; Animesh Garg; Florian Shkurti (CoRR, 2024)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Streith-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (CoRR, 2024)

How to do impactful research in artificial intelligence for chemistry and materials science. - Austin H. Cheng; Cher Tian Ser; Marta Skreta; Andrés Guzmán-Cordero; Luca A. Thiede; Andreas Burger; Abdulrahman Aldossary; Shi Xuan Leong; Sergio Pablo-García; Felix Strieth-Kalthoff; Alán Aspuru-Guzik (CoRR, 2024)

The Superposition of Diffusion Models Using the Itô Density Estimator. - Marta Skreta; Lazar Atanackovic; Joey Bose; Alexander Tong 001; Kirill Neklyudov (ICLR, 2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Strieth-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (ICLR, 2025)

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. - Marta Skreta; Tara Akhound-Sadegh; Viktor Ohanesian; Roberto Bondesan; Alán Aspuru-Guzik; Arnaud Doucet; Rob Brekelmans; Alexander Tong 001; Kirill Neklyudov (CoRR, 2025)