163 citations · 180 across the 4 of their papers we have counts for
4 papers
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach +3
Recent work has shown that simple linear models can outperform several Transformer based approaches in long term time-series forecasting. Motivated by this, we propose a Multi-laye…
Meta-Learning Initializations for Image Segmentation
Sean M. Hendryx, Andrew B. Leach, Paul D. Hein +1
We extend first-order model agnostic meta-learning algorithms (including FOMAML and Reptile) to image segmentation, present a novel neural network architecture built for fast learn…
3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement
Praneet Dutta, Bruce Power, Adam Halpert +10
We propose GAN-based image enhancement models for frequency enhancement of 2D and 3D seismic images. Seismic imagery is used to understand and characterize the Earth's subsurface f…
Symmetrized importance samplers for stochastic differential equations
Andrew Leach, Kevin K. Lin, Matthias Morzfeld
We study a class of importance sampling methods for stochastic differential equations (SDEs). A small-noise analysis is performed, and the results suggest that a simple symmetrizat…