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Kashif Rasul

kashif
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AI & ML interests

Time Series Forecasting, Denoising Diffusion, Generative Modeling, Reinforcement Learning

Recent Activity

upvoted a paper 1 day ago
CauKer: classification time series foundation models can be pretrained on synthetic data only
reacted to sergiopaniego's post with 🤗 2 days ago
you can train DiffusionGemma (a block-diffusion LLM) in TRL! and we're sharing an example for it TRL trainers are made to be easily extended and adapted to different real-world use cases. in this one, with a single method overridden in SFTTrainer (compute_loss), you can train this model > example: https://github.com/huggingface/trl/blob/main/examples/scripts/sft_diffusion_gemma.py
upvoted a paper 2 days ago
Skillful joint probabilistic weather forecasting from marginals
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