Lmst

✅ Plug-and-play with DDIM, Flow Matching, etc.

A minimalist yet powerful update to how we think about generative diffusion models.

📄 Link to paper -> https://openaccess.thecvf.com/content/CVPR2025/papers/Qiu_Finding_Local_Diffusion_Schrodinger_Bridge_using_Kolmogorov-Arnold_Network_CVPR_2025_paper.pdf

#CVPR2025 #DiffusionModels #KAN #GenerativeAI #SchrodingerBridge #MLResearch

#ConformalPrediction #SHAP #ExplainableAI #TrustworthyAI #XAI #MLBias #MLResearch #FeatureAttribution

#MachineLearning #DataPreparation #TargetTransformation #MLResearch #DataScience

MIT has developed a periodic table for machine learning — a framework to map, classify, and even design new ML architectures. It’s like the periodic table of elements, but for models. Could be huge for AI research and discovery.
📖 https://news.mit.edu/2025/machine-learning-periodic-table-could-fuel-ai-discovery-0423
#MachineLearning #AI #MastodonTech #MLResearch

How do you handle imbalance in your ML workflows?

Drop your thoughts in the comments! Let's start a conversation about responsible and effective machine learning practices. 💬👇

https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10320

#MachineLearning #DataScience #AI #SMOTE #ImbalancedData #MLResearch #PredictiveModeling

Let’s demand real comparisons and rigorous benchmarks.

Otherwise, we’re just building castles in the air.

#TimeSeries #Transformers #NBEATS #MLResearch #DataScience #IntegrityMatters

Language Models are Few-Shot Learners, page 33 mentions bidirectional models as a promising direction. Any recent movement in that direction? #ai #mlresearch