25 citations · 32 across the 7 of their papers we have counts for
7 papers
Predict before you train: Scaling Laws for particle physics foundation models
Jan-Lucas Uslu, Benjamin Nachman, Christopher Re
The largest machine learning models in particle physics are also the most expensive to train, yet the return on scaling a given architecture cannot be estimated before that compute…
Towards Engineering Scaling Laws with Pretraining Data Composition
Jan-Lucas Uslu, Kevin Greif, Daniel Whiteson +1
Neural scaling laws describe how model performance improves as a power law in compute, model size, and dataset size. While well-established for large language models, these relatio…
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini +82
AI agents may soon become capable of autonomously completing valuable, long-horizon tasks in diverse domains. Current benchmarks either do not measure real-world tasks, or are not…
Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors
Robert K. A. Bennett, Jan-Lucas Uslu, Harmon F. Gault +8
We present a deep learning approach to extract physical parameters (e.g., mobility, Schottky contact barrier height, defect profiles) of two-dimensional (2D) transistors from elect…
MaskTerial: A Foundation Model for Automated 2D Material Flake Detection
Jan-Lucas Uslu, Alexey Nekrasov, Alexander Hermans +4
The detection and classification of exfoliated two-dimensional (2D) material flakes from optical microscope images can be automated using computer vision algorithms. This has the p…
Quantitative determination of twist angle and strain in Van der Waals moiré superlattices
Steven J. Tran, Jan-Lucas Uslu, Mihir Pendharkar +9
Scanning probe techniques are popular, non-destructive ways to visualize the real space structure of Van der Waals moirés. The high lateral spatial resolution provided by these tec…
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes
Jan-Lucas Uslu, Taoufiq Ouaj, David Tebbe +8
The most widely used method for obtaining high-quality two-dimensional materials is through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from t…