Minisymposium proposals for the 2027 SIAM Conference on Applications of Dynamical Systems (aka "the Snowbird Meeting"; #SIAMDS27) are due by 26 October 2026: siam.org/conferences-events/…
This is our activity group's biennial conference. Come join us!
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"A Hierarchical View of Ecological Encounters" (by many authors): arxiv.org/abs/2611.13466
"Geometry and Stochastic Analysis of Flow and Diffusion Models: A Survey" (by Ehsan Mirafzali, Razvan Marinescu): arxiv.org/abs/2611.12107
Survey article: "Permutons" (by Jacopo Borga, Valentin Féray, Peter Winkler): arxiv.org/abs/2611.12104
"An Introduction to Applied Probability and Stochastic Processes: Open Lecture Notes" (by Matthew Lorig): arxiv.org/abs/2611.10948
[note: broad introduction to measure-theoretic probability and stochastic processes; two-quarter course for first-year PhD students in applied math]
"Discrete Spoilers: Introducing Abstract Undergraduate Mathematics Using Graph Theory" (by Fernando Diaz-Diaz): arxiv.org/abs/2611.10143
Software: "sdos: spectral densities of large sparse Hermitian and generalized eigenproblems" (by David A. Drabold): arxiv.org/abs/2611.11310
"Roadmap on Nanoscale Superconductivity for Quantum Technologies" (by many authors): arxiv.org/abs/2611.10076
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"Deep Learning Theory through the Lens of Statistical Physics: A Topical Review" (by Wei Huang, Youjin Deng): arxiv.org/abs/2611.09138
Acknowledging AI is like stating precise experimental equipment. Different AI tools and versions have different biases due to different training data (including biases in things like probability distributions), so they need to be fully specified to be able to replicate workflows.
I think the AI acknowledgement stuff is a fad; nobody will bother writing (or look forward to reading) such six months from now. Frank Calegari put it best: evaluate all written material from here on out as if it was entirely AI generated, whether it was or not. So what if it was? Is it a valuable contribution to the scientific literature or not? For the purposes of hiring: does the person claiming the result actually understand deeply the subtleties of the result, and can communicate it effectively to others? That's what actually matters.
"How to Look Inside the Black Box: A Survey of Yu. E. Nesterov's Contributions (On the Award of the 2026 Gauss Prize)" [by A. V. Gasnikov, A. Yu. Gornov, D. M. Dvinskikh, Yu. V. Dorn, D. I. Kamzolov, Yu. V. Maximov, V. V. Matyukhin, R. F. Hildebrand]: arxiv.org/abs/2611.07114
Monograph: "Constructive Probability, Foundations and Numerical Analysis for mathematical finance and machine learning" (by Claudio Albanese): arxiv.org/abs/2611.07944
"Synchronized Hearts, Desynchronized Brains: A Nonlinear Dynamics Perspective for Function and Failure" (by many authors): arxiv.org/abs/2611.06618
"A New Dawn For Mathematical Progress" (by Atoosa
Kasirzadeh, 29 October 2016): noemamag.com/a-new-dawn-for-…
"Artificial intelligence is already a transformative chapter in the story of mathematics, but it won’t be the final one."
(h/t Linnéa Gyllingberg)
New Fellows of the American Mathematical Society (@amermathsoc), class of 2027!
ams.org/cgi-bin/fellows/fell…
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Lecture note: "An Introduction to Financial Derivatives: Open Lecture Notes" (by Matthew Lorig): arxiv.org/abs/2611.01355
"Lecture note on Fourier decoupling theory and its applications" (taken and organized by Yudong Liang): arxiv.org/abs/2611.03549
"Letter to a Young Black Mathematician: History, Storytelling, and Belonging in Mathematics" (by Ranthony A. Clark): arxiv.org/abs/2611.00125
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"OpenAI’s Navier-Stokes Construction: What C^♾️ Forcing Changes" (by Thomas Y. Hou, in @TheSIAMNews): siam.org/publications/siam-n…
"Hidden Routes: What Nonlinear Control Teaches Us About AI Safety" (by Enrique Zuazua, in @TheSIAMNews): siam.org/publications/siam-n…

