Marcin Abram

According to our database, Marcin Abram authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

Emergent Inference-Time Semantic Contamination via In-Context Priming.

Marcin Abram

CoRR, April, 2026

Toward Evaluation Frameworks for Multi-Agent Scientific AI Systems.

Marcin Abram

CoRR, March, 2026

2024

Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions.

Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Ryan Chen, Marcin Abram

CoRR, 2024

2023

Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications.

Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Anurag Maravi, Marcin Abram

CoRR, 2023

2022

Performance Weighting for Robust Federated Learning Against Corrupted Sources.

Dimitris Stripelis, Marcin Abram, José Luis Ambite

CoRR, 2022

Inferring topological transitions in pattern-forming processes with self-supervised learning.

Marcin Abram, Keith Burghardt, Greg Ver Steeg, Aram Galstyan, Rémi Dingreville

CoRR, 2022

Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation.

Yu Yao, Chao Cao, Stephan Haas, Mahak Agarwal, Divyam Khanna, Marcin Abram

CoRR, 2022

2020

Democratising blockchain: A minimal agency consensus model.

Marcin Abram, David Galindo, Daniel Honerkamp, Jonathan Ward, Jin-Mann Wong

CoRR, 2020

Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach.

Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020