Petal Mokryn
@petalmokryn.bsky.social
B.Sc. double-majored in physics & applied math. Aspiring interdisciplinary mathematician. Data driven, information-theoretic, Bayesian approaches to modeling complex & nonequilibrium systems.
They/Them
Most likes are papers added to my literature search
They/Them
Most likes are papers added to my literature search
Information field theory is pretty cool. (For spatial/spatiotemporal data)
There’s a lot of cool stuff about it, but one interesting feature is that it automatically deals with irregularly spaced measurements. It can basically act as both data imputation & predictive modeling in one go.
There’s a lot of cool stuff about it, but one interesting feature is that it automatically deals with irregularly spaced measurements. It can basically act as both data imputation & predictive modeling in one go.
September 19, 2025 at 12:22 PM
Information field theory is pretty cool. (For spatial/spatiotemporal data)
There’s a lot of cool stuff about it, but one interesting feature is that it automatically deals with irregularly spaced measurements. It can basically act as both data imputation & predictive modeling in one go.
There’s a lot of cool stuff about it, but one interesting feature is that it automatically deals with irregularly spaced measurements. It can basically act as both data imputation & predictive modeling in one go.
!!!!
Yiyi Wang, Jian'an Zhang, Hongyi Duan, Haoyang Liu, Qingyang Li: Rethinking Selectivity in State Space Models: A Minimal Predictive Sufficiency Approach https://arxiv.org/abs/2508.03158 https://arxiv.org/pdf/2508.03158 https://arxiv.org/html/2508.03158
August 6, 2025 at 8:30 AM
!!!!
I wonder, has anyone explored chaos in recursive iteration of gen-AI models?
E.g., I’ve just been sent this reddit post as a joke www.reddit.com/r/ChatGPT/s/...
But humor aside, that’s pretty obviously a classic case of chaotic behavior of a recursively iterated nonlinear map.
E.g., I’ve just been sent this reddit post as a joke www.reddit.com/r/ChatGPT/s/...
But humor aside, that’s pretty obviously a classic case of chaotic behavior of a recursively iterated nonlinear map.
From the ChatGPT community on Reddit: I tried the "Create the exact replica of this image, don't change a thing" 101 times, but with Dwayne Johnson 🗿
Explore this post and more from the ChatGPT community
www.reddit.com
April 30, 2025 at 10:46 PM
I wonder, has anyone explored chaos in recursive iteration of gen-AI models?
E.g., I’ve just been sent this reddit post as a joke www.reddit.com/r/ChatGPT/s/...
But humor aside, that’s pretty obviously a classic case of chaotic behavior of a recursively iterated nonlinear map.
E.g., I’ve just been sent this reddit post as a joke www.reddit.com/r/ChatGPT/s/...
But humor aside, that’s pretty obviously a classic case of chaotic behavior of a recursively iterated nonlinear map.
After a bit more study on the topic, I must correct myself re: Solomonoff induction.
It’s not quite that an Occam’s razor optimizes prediction, but rather, the cumulation of errors in inductive prediction, when using Solomonoff’s prior (which is an Occam’s razor), is bounded -
It’s not quite that an Occam’s razor optimizes prediction, but rather, the cumulation of errors in inductive prediction, when using Solomonoff’s prior (which is an Occam’s razor), is bounded -
Instead of trying to minimize complexity, one could explicitly try to maximize predictive power (see e.g. Solomonoff induction), and the interesting thing there is that an “Occam’s razor” becomes demanded as corollary.
Prediction of a behavior and compression of its description are closely related!
Prediction of a behavior and compression of its description are closely related!
February 24, 2025 at 11:31 AM
After a bit more study on the topic, I must correct myself re: Solomonoff induction.
It’s not quite that an Occam’s razor optimizes prediction, but rather, the cumulation of errors in inductive prediction, when using Solomonoff’s prior (which is an Occam’s razor), is bounded -
It’s not quite that an Occam’s razor optimizes prediction, but rather, the cumulation of errors in inductive prediction, when using Solomonoff’s prior (which is an Occam’s razor), is bounded -
Reposted by Petal Mokryn
Letter from the SSE/SSB/ASN councils on the scientific understanding of sex and gender, pls RT
Letter to the US President and Congress on the Scientific Understanding of Sex and Gender
President Donald J Trump Washington, DC Members of the US Congress Washington, DC February 5, 2025 RE: Scientific Understanding of Sex and Gender Dear President Trump and Members of the US Congr...
www.evolutionsociety.org
February 7, 2025 at 10:11 PM
Letter from the SSE/SSB/ASN councils on the scientific understanding of sex and gender, pls RT
Reposted by Petal Mokryn
In case this isn't on folks' radar, now is the time to download your favorite publicly available USG resource/dataset. You have until noon on Monday. #econsky #energysky #climatesky
January 17, 2025 at 8:30 PM
In case this isn't on folks' radar, now is the time to download your favorite publicly available USG resource/dataset. You have until noon on Monday. #econsky #energysky #climatesky
Reposted by Petal Mokryn
"Let us do away with the job market and mathjobs.com and reference letters. Let us stop pretending we understand each other’s respective sub-fields. ... Let us seclude ourselves in mountain caves and daub mysterious equations in blood across rock faces to ward off outsiders."
January 18, 2025 at 1:09 AM
"Let us do away with the job market and mathjobs.com and reference letters. Let us stop pretending we understand each other’s respective sub-fields. ... Let us seclude ourselves in mountain caves and daub mysterious equations in blood across rock faces to ward off outsiders."
Reposted by Petal Mokryn
Keynote speaker Ossi Mokryn studies interaction-driven contagion models on temporal networks
#NetSciX2025
#NetSciX2025
January 15, 2025 at 8:50 AM
Keynote speaker Ossi Mokryn studies interaction-driven contagion models on temporal networks
#NetSciX2025
#NetSciX2025
Studying E. T. Jaynes is insane, because, like… As far as I can tell, the man pretty much solved what is the true fundamental approach to non equilibrium thermodynamics in the 80s, and it seems everyone just... Forgot about it?
December 30, 2024 at 9:59 PM
Studying E. T. Jaynes is insane, because, like… As far as I can tell, the man pretty much solved what is the true fundamental approach to non equilibrium thermodynamics in the 80s, and it seems everyone just... Forgot about it?
This post & its part I predecessor form an interesting duo. Part I relies on fundamentally stochastic models, and Part II on deterministic computation, and has some severe criticism on the use of stochastic methods to describe emergence. 1/
A computational approach to emergence: part II
📝 manlius.substack.com/p/a-computat...
🎧 podcasters.spotify.com/pod/show/com...
#ComplexSystems #NetworkScience 🧪🧠🌐
11/
📝 manlius.substack.com/p/a-computat...
🎧 podcasters.spotify.com/pod/show/com...
#ComplexSystems #NetworkScience 🧪🧠🌐
11/
A computational approach to emergence: part II
What's the advantage?
manlius.substack.com
December 29, 2024 at 12:58 AM
This post & its part I predecessor form an interesting duo. Part I relies on fundamentally stochastic models, and Part II on deterministic computation, and has some severe criticism on the use of stochastic methods to describe emergence. 1/
Reposted by Petal Mokryn
This 2024 I’ve been humbled by conversations on #ComplexityThoughts and its (unexpected) growth.
From the risks of new pandemics to the promises of AI, from climate change to evolution, I explored many systems through the lens of #complexity science balancing the technical w/ the accessible.
🧵1/
From the risks of new pandemics to the promises of AI, from climate change to evolution, I explored many systems through the lens of #complexity science balancing the technical w/ the accessible.
🧵1/
December 28, 2024 at 10:12 AM
This 2024 I’ve been humbled by conversations on #ComplexityThoughts and its (unexpected) growth.
From the risks of new pandemics to the promises of AI, from climate change to evolution, I explored many systems through the lens of #complexity science balancing the technical w/ the accessible.
🧵1/
From the risks of new pandemics to the promises of AI, from climate change to evolution, I explored many systems through the lens of #complexity science balancing the technical w/ the accessible.
🧵1/
Reposted by Petal Mokryn
Starting to learn a bit about functional integrals (e.g. Feynman path integrals used in QFT), but all the sources I can find are either very handwavy or limited to quadratic lagrangians, can anyone point me to a good mathematical introduction to functional integrals?
#MathSky #QuantumFieldTheory
#MathSky #QuantumFieldTheory
December 9, 2024 at 4:12 AM
Starting to learn a bit about functional integrals (e.g. Feynman path integrals used in QFT), but all the sources I can find are either very handwavy or limited to quadratic lagrangians, can anyone point me to a good mathematical introduction to functional integrals?
#MathSky #QuantumFieldTheory
#MathSky #QuantumFieldTheory
Reposted by Petal Mokryn
It’s real. We’ve been redoing all of our advance directives, estate docs, etc.
They're coming for marriage equality.
Not *might* or maybe or perhaps. They are.
Is this the strongest case? Not imho. But what matters is Dobbs has opened the door to the argument that precedent no longer matters.
www.wuky.org/local-region...
Not *might* or maybe or perhaps. They are.
Is this the strongest case? Not imho. But what matters is Dobbs has opened the door to the argument that precedent no longer matters.
www.wuky.org/local-region...
Kim Davis' legal team pushes to overturn Obergefell, citing Dobbs decision
The former Rowan County clerk who was jailed after refusing to issue marriage licenses to gay couples is being represented by the legal team Liberty Counsel, which aims to use the case to overturn sam...
www.wuky.org
November 30, 2024 at 12:54 AM
It’s real. We’ve been redoing all of our advance directives, estate docs, etc.
Reposted by Petal Mokryn
"Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations"
www.pnas.org/doi/abs/10.1...
www.pnas.org/doi/abs/10.1...
Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations | PNAS
Disparities continue to pose major challenges in various aspects of science. One such
aspect is editorial board composition, which has been shown t...
www.pnas.org
November 25, 2024 at 11:46 PM
"Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations"
www.pnas.org/doi/abs/10.1...
www.pnas.org/doi/abs/10.1...
I abandoned this line of enquiry to focus on my current research interests (see bio), but this preprint, while some of it needs rewriting, does have what I believe were some really neat mathematics I've developed. #Math #Topology #ExteriorCalculus
doi.org/10.48550/arX...
doi.org/10.48550/arX...
A Topological View on Integration and Exterior Calculus
A construction of integration, function calculus, and exterior calculus is made, allowing for integration of unital magma valued functions against (compactified) unital magma valued measures over arbi...
doi.org
November 23, 2024 at 5:03 PM
I abandoned this line of enquiry to focus on my current research interests (see bio), but this preprint, while some of it needs rewriting, does have what I believe were some really neat mathematics I've developed. #Math #Topology #ExteriorCalculus
doi.org/10.48550/arX...
doi.org/10.48550/arX...
I’m learning statistical inference, and as I learn I’m coming up with my own ideas, as I do, but in this case I end up finding out that almost all of them thus far have been done by E. T. Jaynes before
November 19, 2024 at 3:36 AM
I’m learning statistical inference, and as I learn I’m coming up with my own ideas, as I do, but in this case I end up finding out that almost all of them thus far have been done by E. T. Jaynes before
Once you get to a certain level of baseline knowledge in a field, learning new stuff in it gets a whole new dimension of fun where you get to dissect all the assumptions & constructions that go into the new thing as you learn it
One of the ways academic research can be a bit addictive, honestly
One of the ways academic research can be a bit addictive, honestly
November 17, 2024 at 11:45 AM
Once you get to a certain level of baseline knowledge in a field, learning new stuff in it gets a whole new dimension of fun where you get to dissect all the assumptions & constructions that go into the new thing as you learn it
One of the ways academic research can be a bit addictive, honestly
One of the ways academic research can be a bit addictive, honestly
Reposted by Petal Mokryn
When creating PDFs, avoid using "Print to PDF." A screen reader user may still be able to access the text of PDFs created this way, but heading structure, alternative text, and any other tag structure will be lost. Using "Save As" or "Export" can preserve these tags.
November 17, 2024 at 4:12 AM
When creating PDFs, avoid using "Print to PDF." A screen reader user may still be able to access the text of PDFs created this way, but heading structure, alternative text, and any other tag structure will be lost. Using "Save As" or "Export" can preserve these tags.
Shannon information theory has been readily & very thoroughly applied to physics & other sciences, because it directly deals in the predictability of stochastic information sources - very useful for optimal prediction, inference, etc.
November 15, 2024 at 4:41 PM
Shannon information theory has been readily & very thoroughly applied to physics & other sciences, because it directly deals in the predictability of stochastic information sources - very useful for optimal prediction, inference, etc.