Marta Skreta

According to our database, Marta Skreta authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

General Multimodal Protein Design Enables DNA-Encoding of Chemistry.

Jarrid Rector-Brooks, Théophile Lambert, Marta Skreta, Daniel Roth, Yueming Long, Zi-Qi Li, Xi Zhang, Miruna T. Cretu, Francesca-Zhoufan Li, Tanvi Ganapathy, Emily Jin, Avishek Joey Bose, Jason Yang, Kirill Neklyudov, Yoshua Bengio, Alexander Tong, Frances H. Arnold, Cheng-Hao Liu

CoRR, April, 2026

Riemannian MeanFlow.

Dongyeop Woo, Marta Skreta, Seonghyun Park, Kirill Neklyudov, Sungsoo Ahn

CoRR, February, 2026

Discrete Feynman-Kac Correctors.

Mohsin Hasan, Viktor Ohanesian, Artem Gazizov, Yoshua Bengio, Alán Aspuru-Guzik, Roberto Bondesan, Marta Skreta, Kirill Neklyudov

CoRR, January, 2026

2025

Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024.

Santiago Miret, Marta Skreta, Geemi P. Wellawatte, Stefano Martiniani, N. M. Anoop Krishnan, George Karypis, Kevin Maik Jablonka

Mach. Learn. Sci. Technol., 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, Kirill Neklyudov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Evolutionary Search Over Chemical Space with Large Language Models.

Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Superposition of Diffusion Models Using the Itô Density Estimator.

Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Efficient Evolutionary Search Over Chemical Space with Large Language Models.

Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

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

RePLan: Robotic Replanning with Perception and Language Models.

Marta Skreta, Zihan Zhou, Jia Lin Yuan, Kourosh Darvish, Alán Aspuru-Guzik, Animesh Garg

CoRR, 2024

Quantum Deep Equilibrium Models.

Philipp Schleich, Marta Skreta, Lasse Bjørn Kristensen, Rodrigo A. Vargas-Hernández, Alán Aspuru-Guzik

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Animesh Garg

Auton. Robots, December, 2023

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

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, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik

Patterns, 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

Reinforcement learning supercharges redox flow batteries.

Yang Cao, Cher Tian Ser, Marta Skreta, Kjell Jorner, Nathanael Kusanda, Alán Aspuru-Guzik

Nat. Mach. Intell., 2022

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

2021

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

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

Proceedings of the Machine Learning for Health Workshop, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Training without training data: Improving the generalizability of automated medical abbreviation disambiguation.

Marta Skreta, Aryan Arbabi, Jixuan Wang, Michael Brudno

Proceedings of the Machine Learning for Health Workshop, 2019