
Daniel Melcer is a PhD student at Northeastern University, where he researches formal methods, reinforcement learning, and large language models, among other things. Daniel also has the most colorful hair in the business (bright red for this talk, other colors for other occasions). Today he joined us to talk about some really exciting work he completed at Amazon, and to expand on his general vision of where constrained inference problems are heading in the future.
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Sum-check protocol: categorical view, Alex Sorokin

P-stability for 3-uniform Hypergraphs, Daniel Yu

Understanding patterns of adoption and adaptation of open models on local systems, Woohyeuk (Kevin) Lee

Cellular automata and artificial life in the deep learning era, Casey Martin
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