Marcin Abram

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Background Knowledge

Policy Evaluation

Top Venues

Publications

Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Ryan Chen, Marcin Abram
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions. CoRR (2024)
Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Anurag Maravi, Marcin Abram
Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications. CoRR (2023)
Yu Yao, Chao Cao, Stephan Haas, Mahak Agarwal, Divyam Khanna, Marcin Abram
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation. CoRR (2022)
Dimitris Stripelis, Marcin Abram, José Luis Ambite
Performance Weighting for Robust Federated Learning Against Corrupted Sources. CoRR (2022)
Marcin Abram, Keith Burghardt, Greg Ver Steeg, Aram Galstyan, Rémi Dingreville
Inferring topological transitions in pattern-forming processes with self-supervised learning. CoRR (2022)
Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach. IJCAI (2020)
Marcin Abram, David Galindo, Daniel Honerkamp, Jonathan Ward, Jin-Mann Wong
Democratising blockchain: A minimal agency consensus model. CoRR (2020)