no code implementations • 1 May 2024 • Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue
Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical reasoning.
no code implementations • 11 Mar 2023 • Will LeVine, Benjamin Pikus, Pranav Raja, Fernando Amat Gil
Calibration of deep learning models is crucial to their trustworthiness and safe usage, and as such, has been extensively studied in supervised classification models, with methods crafted to decrease miscalibration.
1 code implementation • 18 Mar 2022 • Devin A. Rippner, Pranav Raja, J. Mason Earles, Alexander Buchko, Mina Momayyezi, Fiona Duong, Dilworth Parkinson, Elizabeth Forrestel, Ken Shackel, Jeffrey Neyhart, Andrew J. McElrone
Recent advances in machine learning, specifically the application of convolutional neural networks to image analysis, have enabled rapid and accurate segmentation of image data.
1 code implementation • 6 Dec 2021 • Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles
Here, we introduce a relatively simple convolutional neural network (CNN) model that accepts multiple sensor inputs and predicts multiple continuous trait outputs - i. e. a multi-input, multi-output CNN (MIMO-CNN).