Reference implementation of https://arxiv.org/abs/2305.13290

Code and resources for the WACV 2024 paper: SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain

Analysis & Modeling of Coordinate Constructions in English Enhanced Universal Dependencies

GPT auto-generated training and evaluation materials for CLAP4Emo framework

PyTorch Implementation for exact inference for continuous-time GP dynamics. This is part of the publication "Exact Inference for Continuous-Time Gaussian Process Dynamics" (AAAI 2024)

Code and resources for our WIESP paper "MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain"

Structure-preserving Gaussian Process dynamics

Companion code for the research paper "CoAug: Combining Augmentation of Labels and Labeling Rules"

Explanations for Inconsistency in Large-Scale Knowledge Graphs

Code to reproduce forth coming paper

Experimental resources for our paper "QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios" (EMNLP'24)

PyTorch Implementation for Hybrid Observer. This is part of the publication "Learning Hybrid Dynamics Models with Simulator-Informed Latent States" (AAAI 2024)

Resources related to EMNLP 2021 paper "To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning"

This is the companion code for the paper GOODE: A Gaussian Off-the-shelf Ordinary Differential Equation Solver by David John, Michael Schober and Vincent Heuvline.

Information-Theoretic Safe Exploration with Gaussian Processes