Jacob Christopher @jacobkchrist
PhD Student @UVA | Generative AI, Responsible AI, Differentiable Optimization jacobchristopher.github.io Charlottesville, Virginia Joined December 2024-
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Jacob Christopher retweeted
Excited to share our #NeurIPS2024 work on combining diffusion models with constrained optimization to generate data adhering to constraints and physical principles (with guarantees!). Led by the amazing Jacob Christopher and with Stephen Baek. > arxiv.org/abs/2402.03559
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Jacob Christopher retweeted
Promising application of discrete diffusion as a better drafting model for speculative decoding! Diffusion seems to bring a sufficiently different structure to enable faster inference speeds. Congrats to @nandofioretto and team!
Promising application of discrete diffusion as a better drafting model for speculative decoding! Diffusion seems to bring a sufficiently different structure to enable faster inference speeds. Congrats to @nandofioretto and team!
Jacob Christopher retweeted
🔥Excited to share our work on speculative diffusion decoding! We use discrete diffusion as a drafting model to massively speed up #LLM inference---up to 8.7x faster over standard generation and 2.5x faster than traditional spec dec approaches.🚀 🔗Links below
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