9 citations · 25 across the 5 of their papers we have counts for
5 papers
MedCalc-Bench Doesn't Measure What You Think: A Benchmark Audit and the Case for Open-Book Evaluation
Artus Krohn-Grimberghe
MedCalc-Bench is a widely used benchmark for evaluating LLM performance on clinical calculator tasks, with state-of-the-art direct prompting scores plateauing around 35% on the Ver…
Multi-Stage Reinforcement Learning For Object Detection
Jonas Koenig, Simon Malberg, Martin Martens +3
We present a reinforcement learning approach for detecting objects within an image. Our approach performs a step-wise deformation of a bounding box with the goal of tightly framing…
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas
Facial Key Points (FKPs) Detection is an important and challenging problem in the fields of computer vision and machine learning. It involves predicting the co-ordinates of the FKP…
AutoCompete: A Framework for Machine Learning Competition
Abhishek Thakur, Artus Krohn-Grimberghe
In this paper, we propose AutoCompete, a highly automated machine learning framework for tackling machine learning competitions. This framework has been learned by us, validated an…
Practical Aspects of the Bitcoin System
Artus Krohn-Grimberghe Christoph Sorge
Digital payment schemes show an ever increasing importance. Out of the countless different schemes available this article focuses on the popular Bitcoin system. The authors provide…