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Kashif Rasul
kashif
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krasul
kashif
AI & ML interests
Time Series Forecasting, Denoising Diffusion, Generative Modeling, Reinforcement Learning
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CauKer: classification time series foundation models can be pretrained on synthetic data only
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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
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Skillful joint probabilistic weather forecasting from marginals
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kashif
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kashif/torch-harmonics-kernels
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Apr 30
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