News
| Mar 2025 | 🤝 We are organizing the CodeML Workshop at ICML 2025 in Vancouver focusing on open-source software in machine learning! |
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| Mar 2025 | 📝 Our paper “Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition” has been accepted at ICLR 2025! See you in Singapore! |
| Feb 2025 | 🤝 We are organizing the first AlgoPerf Workshop at Meta HQ in Menlo Park on February 11th & 12th. |
| Feb 2024 | 📝 Our paper “Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures” received a spotlight presentation at NeurIPS 2023! |
| Jun 2023 | 📝 We published the first paper of our MLCommons’ Algorithms working group on arXiv titled “Benchmarking Neural Network Training Algorithms”. |
| Jun 2022 | 🎓 I succesfully defended my Ph.D. thesis with the title “Understanding Deep Learning Optimization via Benchmarking and Debugging”! |
| Sep 2021 | 📝 Our paper “Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks” has been accepted at NeurIPS 2021. |
| May 2021 | 📝 Our work “Descending through a Crowded Valley - Benchmarking Deep Learning Optimziers” has been accepted at ICML 2021. |
| Apr 2021 | 🏛️ I have been elected as a co-chair for the MLCommons working group on Algorithmic Efficiency together with George Dahl. |
| Sep 2020 | 🎖️ I have been distinguished as a top reviewer for ICML 2020 and received a Top 10% Reviewer award for NeurIPS 2020. |
| May 2019 | 📝 Our paper “DeepOBS: A Deep Learning Optimizer Benchmark Suite” has been accepted at ICLR 2019. |