output
20022026
most citedMethods for Interpreting and Understanding Deep Neural Networks

2.8k citations

Showing 2025Show all

43 papers · 1 filter

cond-mat.str-el2025

Uncovering surface states of the Dirac semimetal BaMg2Bi2

A. De Vita, J. Bakkelund, H. Świątek +13

BaMg2Bi2 is a Dirac semimetal characterized by a simple Dirac cone crossing the Fermi level at the center of the Brillouin zone, protected by C3 rotational symmetry. Together with…

cs.DB2025

Mobility Stream Processing on NebulaStream and MEOS

Mariana M. Garcez Duarte, Dwi P. A. Nugroho, Georges Tod +7

The increasing use of Internet-of-Things (IoT) sensors in moving objects has resulted in vast amounts of spatiotemporal streaming data. To analyze this data in situ, real-time spat…

cs.DC20252 cited

Towards an Optimized Benchmarking Platform for CI/CD Pipelines

Nils Japke, Sebastian Koch, Helmut Lukasczyk +1

Performance regressions in large-scale software systems can lead to substantial resource inefficiencies, making their early detection critical. Frequent benchmarking is essential f…

eess.AS2025

Audio-Visual Speech Enhancement for Spatial Audio - Spatial-VisualVoice and the MAVE Database

Danielle Yaffe, Ferdinand Campe, Prachi Sharma +2

Audio-visual speech enhancement (AVSE) has been found to be particularly useful at low signal-to-noise (SNR) ratios due to the immunity of the visual features to acoustic noise. Ho…

cs.LG2025

Don't Be Greedy, Just Relax! Pruning LLMs via Frank-Wolfe

Christophe Roux, Max Zimmer, Alexandre d'Aspremont +1

Pruning is a common technique to reduce the compute and storage requirements of Neural Networks. While conventional approaches typically retrain the model to recover pruning-induce…

physics.soc-ph2025

PyPSA-DE: Open-source German energy system model reveals savings from integrated planning

Michael Lindner, Julian Geis, Toni Seibold +1

Germany has set an ambitious target of reaching net zero greenhouse gas emissions by 2045. We explore how integrated cross-sectoral planning can reduce costs compared to existing n…