32 citations · 115 across the 12 of their papers we have counts for
14 papers
SciFusion: Physics-Guided Compositional Diffusion for Multimodal 3D Scientific Image Generation
Luoxi Wang, Alessio Quercia, Hanno Scharr +1
Existing 3D generative approaches are typically developed for individual imaging modalities, requiring substantial modality-specific data and limiting their ability to exploit shar…
Least but not Last: Fine-tuning Intermediate Principal Components for Better Performance-Forgetting Trade-Offs
Alessio Quercia, Arya Bangun, Ira Assent +1
Low-Rank Adaptation (LoRA) methods have emerged as crucial techniques for adapting large pre-trained models to downstream tasks under computational and memory constraints. However,…
Classifier Reconstruction Through Counterfactual-Aware Wasserstein Prototypes
Xuan Zhao, Zhuo Cao, Arya Bangun +2
Counterfactual explanations provide actionable insights by identifying minimal input changes required to achieve a desired model prediction. Beyond their interpretability benefits,…
Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging
Laurentius Valdy, Richard D. Paul, Alessio Quercia +4
Accurate multi-slice reconstruction from limited measurement data is crucial to speed up the acquisition process in medical and scientific imaging. However, it remains challenging…
FlowTIE: Flow-based Transport of Intensity Equation for Phase Gradient Estimation from 4D-STEM Data
Arya Bangun, Maximilian Töllner, Xuan Zhao +2
We introduce FlowTIE, a neural-network-based framework for phase reconstruction from 4D-Scanning Transmission Electron Microscopy (STEM) data, which integrates the Transport of Int…
1LoRA: Summation Compression for Very Low-Rank Adaptation
Alessio Quercia, Zhuo Cao, Arya Bangun +4
Parameter-Efficient Fine-Tuning (PEFT) methods have transformed the approach to fine-tuning large models for downstream tasks by enabling the adjustment of significantly fewer para…
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
Arya Bangun, Zhuo Cao, Alessio Quercia +2
Magnetic Resonance Imaging (MRI) is a powerful imaging technique widely used for visualizing structures within the human body and in other fields such as plant sciences. However, t…
Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction
Arya Bangun, Paul F. Baumeister, Alexander Clausen +2
We propose a modification of Wigner Distribution Deconvolution (WDD) to support live processing ptychography. Live processing allows to reconstruct and display the specimen transfe…
Optimizing Sensing Matrices for Spherical Near-Field Antenna Measurements
Arya Bangun, Cosme Culotta-López
In this article, we address the problem of reducing the number of required samples for Spherical Near-Field Antenna Measurements (SNF) by using Compressed Sensing (CS). A condition…
Inverse Multislice Ptychography by Layer-wise Optimisation and Sparse Matrix Decomposition
Arya Bangun, Oleh Melnyk, Benjamin März +5
We propose algorithms based on an optimisation method for inverse multislice ptychography in, e.g. electron microscopy. The multislice method is widely used to model the interactio…
Live processing of momentum-resolved STEM data for first moment imaging and ptychography
Achim Strauch, Dieter Weber, Alexander Clausen +8
A reformulated implementation of single-sideband ptychography enables analysis and display of live detector data streams in 4D scanning transmission electron microscopy (STEM) usin…
Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids
Arya Bangun, Arash Behboodi, Rudolf Mathar
Many practical sampling patterns for function approximation on the rotation group utilizes regular samples on the parameter axes. In this paper, we relate the mutual coherence anal…
Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
Arya Bangun, Arash Behboodi, Rudolf Mathar
In this paper, {the goal is to design deterministic sampling patterns on the sphere and the rotation group} and, thereby, construct sensing matrices for sparse recovery of band-lim…
Sparse recovery in Wigner-D basis expansion
Arya Bangun, Arash Behboodi, Rudolf Mathar
We are concerned with the recovery of sparse Wigner-D expansions in terms of Wigner-D functions. Considered as a generalization of spherical harmonics, Wigner-D functions a…