39 citations · 143 across the 12 of their papers we have counts for
12 papers
Hofstadter Butterflies in Topological Insulators
Larry Li, Marcin Abram, Abhinav Prem +1
In this chapter, we investigate the energy spectra as well as the bulk and surface states in a two-dimensional system composed of a coupled stack of one-dimensional dimerized chain…
Performance Weighting for Robust Federated Learning Against Corrupted Sources
Dimitris Stripelis, Marcin Abram, Jose Luis Ambite
Federated Learning has emerged as a dominant computational paradigm for distributed machine learning. Its unique data privacy properties allow us to collaboratively train models wh…
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation
Yu Yao, Chao Cao, Stephan Haas +3
High-fidelity quantum dynamics emulators can be used to predict the time evolution of complex physical systems. Here, we introduce an efficient training framework for constructing…
Inferring topological transitions in pattern-forming processes with self-supervised learning
Marcin Abram, Keith Burghardt, Greg Ver Steeg +2
The identification and classification of transitions in topological and microstructural regimes in pattern-forming processes are critical for understanding and fabricating microstr…
Democratising blockchain: A minimal agency consensus model
Marcin Abram, David Galindo, Daniel Honerkamp +2
We propose a novel consensus protocol based on a hybrid approach, that combines a directed acyclic graph (DAG) and a classical chain of blocks. This architecture allows us to enfor…
Antiferromagnetism, charge density wave, and d-wave superconductivity in the extended ---- model: role of intersite Coulomb interaction and a critical overview of renormalized mean field theory
Marcin Abram, Michał Zegrodnik, Jozef Spałek
In the first part of the paper, we study the stability of antiferromagnetic (AF), charge density wave (CDW), and superconducting (SC) states within the --- model of str…