We provide a new unifying view, including all existing proper probabilistic sparse approximations for Gaussian process regression. Our approach relies on expressing the effective prior which the methods are using. This allows new insights to be gained, and highlights the relationship between exist...
StereoDiffusion: "StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models", Wang et al., CVPRW, 2024. [Paper] [Code] [Bibtex] [Google Scholar] GS2Mesh: "GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views", Wolf et al., ECCV, 2024. ...
In this paper, we show that most existing Gaussian dynamic term structure models (GDTSMs) can be nested as special cases under a unified Heath–Jarrow–Morton (HJM)-based framework of GDTSM construction. Our study provides not only a systematic way to examine the commonality of many seemingly...
11 proposed an alternative to hand-crafted approaches, instead using hidden two-stream networks12 and temporal gaussian mixture networks13, and achieved high classification accuracy on a diverse collection of animal behavior datasets. Here, we expand on this work by introducing DeepAction, a MATLAB ...
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written language by training a language model on more than ...
7) Unifying LLMs & Knowledge Graphs - provides a roadmap for the unification of LLMs and KGs; covers how to incorporate KGs in LLM pre-training/inferencing, leverage LLMs for KG tasks such as question answering, and enhance both KGs and LLMs for bidirectional reasoning. Paper, Tweet 8) ...
Loss of dopaminergic neurons underlies the motor symptoms of Parkinson’s disease (PD). However stereotypical PD symptoms only manifest after approximately 80% of dopamine neurons have died making dopamine-related motor phenotypes unreliable markers of t
and how, in turn, current and future quantum processors can be used to describe large many-body systems of fermions such as electrons and nucleons. The review includes an introduction to analog and digital quantum devices, the mapping of Fermi systems and their Hamiltonians onto qubit registers...
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre. NeurIPS 2022. [PDF] P + : Extended Textual Conditioning in Text-to-Image Generation. Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, ...
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang WSDM 2018 Learning Structural Node Embeddings via Diffusion Wavelets Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec KDD 2018...