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M

Max Sponner

Technical University of Munich

2H-index
10Paper Count
25Citation Count
Published Papers 3
Publication Date
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Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning
errACM COMPUTING SURVEYS
IF28
err2024-05-14
err0
errOAAI
errSponner, Max; Waschneck, Bernd; Kumar, Akash
errShare
errSave
Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errSponner, Max; Servadei, Lorenzo; Waschneck, Bernd; Wille, Robert; Kumar, Akash
errShare
errSave
AI-Driven Performance Modeling for AI Inference Workloads
errELECTRONICS
IF2.6
err2022-07-26
err3
errOAAI
errSponner, Max; Waschneck, Bernd; Kumar, Akash
errShare
errSave

Research Directions

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Co-authors
Cooperation Journals
R
Robert Wille
H-index: 47 · Papers: 915
A
Akash Kumar
H-index: 37 · Papers: 577
L
Lorenzo Servadei
H-index: 14 · Papers: 128
B
Bernd Waschneck
H-index: 7 · Papers: 36
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