4 citations · 5 across the 7 of their papers we have counts for
8 papers
The role of absorption in three-dimensional electron diffraction dynamical structure refinement
Benjamin Colmey, Tiarnan A. S. Doherty, Shreshth A. Malik +1
The role of absorption in 3D electron diffraction is established through analytical theory, simulation, and dynamical refinement. A two-beam expression for the absorbed integrated…
MADE: Benchmark Environments for Closed-Loop Materials Discovery
Shreshth A Malik, Tiarnan Doherty, Panagiotis Tigas +4
Existing benchmarks for computational materials discovery primarily evaluate static predictive tasks or isolated computational sub-tasks. While valuable, these evaluations neglect…
Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements
Shreshth A. Malik, Tiarnan A. S. Doherty, Benjamin Colmey +3
High-fidelity electron microscopy simulations required for quantitative crystal structure refinements face a fundamental challenge: while physical interactions are well-described t…
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
Jannik Kossen, Jiatong Han, Muhammed Razzak +3
We propose semantic entropy probes (SEPs), a cheap and reliable method for uncertainty quantification in Large Language Models (LLMs). Hallucinations, which are plausible-sounding…
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
Shreshth A. Malik, James Walsh, Giacomo Acciarini +2
Accurate estimation of thermospheric density is critical for precise modeling of satellite drag forces in low Earth orbit (LEO). Improving this estimation is crucial to tasks such…
BatchGFN: Generative Flow Networks for Batch Active Learning
Shreshth A. Malik, Salem Lahlou, Andrew Jesson +5
We introduce BatchGFN -- a novel approach for pool-based active learning that uses generative flow networks to sample sets of data points proportional to a batch reward. With an ap…
Discovering Long-period Exoplanets using Deep Learning with Citizen Science Labels
Shreshth A. Malik, Nora L. Eisner, Chris J. Lintott +1
Automated planetary transit detection has become vital to prioritize candidates for expert analysis given the scale of modern telescopic surveys. While current methods for short-pe…
Multi-Modal Fusion by Meta-Initialization
Matthew T. Jackson, Shreshth A. Malik, Michael T. Matthews +1
When experience is scarce, models may have insufficient information to adapt to a new task. In this case, auxiliary information - such as a textual description of the task - can en…