Artificial intelligence research within reach. The official account of The Innovation | Informatics. Tweets by @YangLiu_CTH. #AI #NEWS #Trending #ML
Joined October 2021
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Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
A promising method nearly 200 stars, and used as baselines by nearly 100 papers.
github.com/GestaltCogTeam/ST…
#timeseries #MachineLearning #deeplearning #artificalintelligence #bigdata
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
arxiv.org/abs/2312.00516
#ChatGPT #Timeseries #datascience #artificalintelligence #Prediction #deeplearning #MachineLearning #STGNN #bigdata
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
dl.acm.org/doi/abs/10.1145/3…
#ChatGPT #Timeseries #datascience #urbancomputing #artificalintelligence #Prediction #deeplearning #MachineLearning #STGNN #bigdata @Tsinghua_Uni
Common occurrences of subsurface heatwaves and cold spells in ocean eddies
nature.com/articles/s41586-0…
#Science #heatwaves #timeseries #ocean
Chronos: Learning the Language of Time Series
arxiv.org/abs/2403.07815
#ChatGPT #Timeseries #datascience #artificalintelligence #Prediction #deeplearning #MachineLearning #STGNN #bigdata @amazon
The Innovation | Informatics retweeted
This's why we insist in whole-brain decoding.
"behavioral signatures can be decoded from a much broader range of cortical areas than previously recognized"
direct.mit.edu/imag/article/…
Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting
dl.acm.org/doi/abs/10.1145/3…
#ChatGPT #Timeseries #datascience #artificalintelligence #Prediction #deeplearning #MachineLearning #STGNN #bigdata
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks
dl.acm.org/doi/10.14778/3641…
#ChatGPT #Timeseries #datascience #artificalintelligence #Prediction #deeplearning #MachineLearning #STGNN #bigdata
The Innovation | Informatics retweeted
Excited to share work from my internship at @AIatMeta!
LLM devs often tweak decoding temperature: low for analytical tasks, and high for creative ones.
Why not learn this from the data?
Introducing the AdaptiveDecoder! (1/3)🧵
🚨 Adaptive Decoding via Latent Preference Optimization 🚨
- New layer added to Transformer, selects decoding params automatically *per token*
- Learnt via new method, Latent Preference Optimization
- Outperforms any fixed temperature decoding method, choosing creativity or factuality automatically
arxiv.org/abs/2411.09661
🧵1/4
The Innovation | Informatics retweeted
Microsoft released LLM2CLIP: a CLIP model with longer context window for complex text inputs 🤯
TLDR; they replaced CLIP's text encoder with various LLMs fine-tuned on captioning, better top-k accuracy on retrieval 🔥
All models with Apache 2.0 license on @huggingface 😍
The Innovation | Informatics retweeted
A new promising “A Fair and Scalable Time Series Forecasting Benchmark and Toolkit” BasicTS.
#timeseries
#forecasting
#opensource
The Innovation | Informatics retweeted
Forget traditional methods like SMOTE—Conformal Prediction offers significant improvements, even on challenging datasets with imbalanced data, label noise, or both. 🚀
#conformalprediction
#MachineLearning
#DataScience
#Innovation
The Innovation | Informatics retweeted
How to write an excellent Review article
@natrevbioeng @Nature #PhD #PhDlife #academics #AcademicChatter #AcademicTwitter #Postdocs #Research #Science
The Innovation | Informatics retweeted
New article: "The geometry of data: the missing metric tensor and the Stein score" (blog.christianperone.com/202…). I show how you can derive a (efficient to compute) data manifold metric tensor with the Stein score alone ! Deep connections to diffusion, score-based models and physics.
The Innovation | Informatics retweeted
New in The Innovation Geoscience! Larger increase in future global terrestrial water availability than projected by CMIP6 models.
Wu et al. employ outputs from 20 state-of-the-art ESMs from the Coupled Model Intercomparison Project Phase 6, together with multiple remote sensing and ground-based precipitation and ET datasets to derive new projections of ΔPME under shared socioeconomic pathway 2-4.5 and 5-8.5 scenarios using the EC approach. Read more @Innov_Geosci
the-innovation.org/article/d…
#geoscience #Research #climate
The Innovation | Informatics retweeted
A new Science study presents “Evo”—a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy.
Evo’s ability to predict, generate, and engineer entire genomic sequences could change the way synthetic biology is done. Learn more in this week's issue: bit.ly/3OsmUPr
The Innovation | Informatics retweeted
#Multiomics integration unravels #genotype‐#microbiome interactions shaping the conjunctival transcriptome #iMetaOmics onlinelibrary.wiley.com/doi/…
#bioinformatics #DataScience #MachineLearning
@wileymicrobio @WileyBiomedical @WileyHealth
Artificial intelligence for geoscience: Progress, challenges, and perspectives
cell.com/the-innovation/full…
#ArtificialIntelligence #MachineLearning #Geoscience #Science #Research #Trending #PERSPECTIVE #AI #Technology
