Stefan M. Wild
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
13
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | QCE | A Noise-Aware Scalable Subspace Classical Optimizer for the Quantum Approximate Optimization Algorithm. | Kwassi Joseph Dzahini, Jeffrey M. Larson, Matt Menickelly, Stefan M. Wild |
| 2024 | WSC | Central Finite-Difference Based Gradient Estimation Methods for Stochastic Optimization. | Raghu Bollapragada, Cem Karamanli, Stefan M. Wild |
| 2021 | ICCS | Hierarchical Analysis of Halo Center in Cosmology. | Zichao (Wendy) Di, Esteban Rangel, Shinjae Yoo, Stefan M. Wild |
| 2021 | ICCS | Scalable Statistical Inference of Photometric Redshift via Data Subsampling. | Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero |
| 2020 | CCGRID | Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications. | Nathanal Cheriere, Matthieu Dorier, Gabriel Antoniu, Stefan M. Wild, Sven Leyffer, Robert B. Ross |
| 2019 | ICIP | Calibrating Sensing Drift in Tomographic Inversion. | Xiang Huang, Stefan M. Wild, Zichao Wendy Di |
| 2019 | ICPP | Adaptive Learning for Concept Drift in Application Performance Modeling. | Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Glenn K. Lockwood, Robert B. Ross, Shane Snyder, Stefan M. Wild |
| 2019 | SC | Scalable reinforcement-learning-based neural architecture search for cancer deep learning research. | Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan M. Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens |
| 2018 | CLUSTER | Modeling I/O Performance Variability Using Conditional Variational Autoencoders. | Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild |
| 2018 | HiPC | DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks. | Prasanna Balaprakash, Michael Salim, Thomas D. Uram, Venkat Vishwanath, Stefan M. Wild |
| 2017 | EuroPar | Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. | Franck Cappello, Rinku Gupta, Sheng Di, Emil M. Constantinescu, Thomas Peterka, Stefan M. Wild |
| 2017 | EuroPar | Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. | Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kur, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo |
| 2015 | CLUSTER | Dynamic Model-Driven Parallel I/O Performance Tuning. | Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir |
| 2015 | CLUSTER | Collective I/O Tuning Using Analytical and Machine Learning Models. | Florin Isaila, Prasanna Balaprakash, Stefan M. Wild, Dries Kimpe, Robert Latham, Robert B. Ross, Paul D. Hovland |
| 2015 | FCCM | Autotuning FPGA Design Parameters for Performance and Power. | Azamat Mametjanov, Prasanna Balaprakash, Chekuri Choudary, Paul D. Hovland, Stefan M. Wild, Gerald Sabin |
| 2015 | ICCS | Visualizing and Improving the Robustness of Phase Retrieval Algorithms. | Ashish Tripathi, Sven Leyffer, Todd S. Munson, Stefan M. Wild |
| 2014 | CLUSTER | Energy-performance tradeoffs in multilevel checkpoint strategies. | Leonardo Arturo Bautista-Gomez, Prasanna Balaprakash, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland |
| 2014 | HPDC | Improving parallel I/O autotuning with performance modeling. | Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir |
| 2014 | SC | Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. | Prasanna Balaprakash, Leonardo Arturo Bautista-Gomez, Mohamed-Slim Bouguerra, Stefan M. Wild, Franck Cappello, Paul D. Hovland |
| 2013 | CLUSTER | Active-learning-based surrogate models for empirical performance tuning. | Prasanna Balaprakash, Robert B. Gramacy, Stefan M. Wild |
| 2013 | SIGGRAPH | Unsupervised cell identification on multidimensional X-ray fluorescence datasets. | Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, Stefan Vogt |
| 2013 | SC | Multi Objective Optimization of HPC Kernels for Performance, Power, and Energy. | Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild |