Issue #240
April 14, 2024
- 1. A Gentle Primer for Nonparametric Density Estimation: Histograms [vvanirudh.github.io]
- 2. An Introduction To Flow Matching [mlg.eng.cam.ac.uk]
- 3. Natural Language Processing Fundamentals: Tokens, N-Grams, and Bag-of-Words Models [zilliz.com]
- 4. Mathematician Who Shed Light on Randomness in Algorithms Wins Top Prize in Computing [smithsonianmag.com]
- 5. A Deep Dive Into Vector Databases [singlestore.com]
- 6. The Memorization/Generalization Transition in Generative AI [rebellionresearch.com]
- 7. AI & the Web: Understanding and managing the impact of Machine Learning models on the Web [w3.org]
- • A canonical Hamiltonian formulation of the Navier–Stokes problem (J. W. Sanders, A. C. DeVoria,N. J. Washuta, G. A. Elamin, K. L. Skenes, J. C. Berlinghieri)
- • Science as exploration in a knowledge landscape: tracing hotspots or seeking opportunity? (F. Liu, S. Zhang, H. Xia)
- • A Review of Graph Neural Networks in Epidemic Modeling (Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin)
- • Causal evidence for social group sizes from Wikipedia editing data (M. Burgess, R.I.M. Dunbar)
- • Increased LLM Vulnerabilities from Fine-tuning and Quantization (D. Kumar, A. Kumar, S. Agarwal, P. Harshangi)
- • Formal Aspects of Language Modeling (R. Cotterell, A. Svete, C. Meister, T. Liu, L. Du)
- • From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples (R. Vacareanu, V.-A. Negru, V. Suciu, M. Surdeanu)
Jim Simons: A Short Story of My Life and Mathematics
All our videos are also available in our YouTube playlist.
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