By symbolic regression with experimental data, Han and Jin developed a general theory for diffusion coefficients that can be applied to a wide range of organic compounds at varying temperatures.
doi.org/10.59717/j.x...
#symbolicregression #diffusioncoefficient

The broader question is methodological:
As AI systems grow increasingly complex and opaque, should we invest more effort in stable, reproducible equation discovery methods?
Symbolic regression might deserve renewed attention.
🔗 doi.org/10.1016/j.es...
#SymbolicRegression #ExplainableAI #ScientificML

Rediscovering orbital mechanics with machine learning We present an approach for using machine learning to automatically discover the governing equations and unknown properties (in this case, masses) of real physical systems from observations. We train a 'graph neural network' to simulate the dynamics of our Solar System's Sun, plan

📄 Rediscovering orbital mechanics with machine learning

Quicklook:
Lemos, Pablo et al. (2023) · Machine Learning: Science and Technology
Reads: 405 · Citations: 81
DOI: 10.1088/2632-2153/acfa63

#Astronomy #Astrophysics #SolarPhysics #ScientificDiscovery #SymbolicRegression

Symbolic Regression and Differentiable Fits in Beyond the Standard Model
Physics
Deaglan Bartlett, Miguel Crispim Romão et al.
Paper
Details
#SymbolicRegression #BeyondStandardModelPhysics #CrispimRomaoBartlettCollaboration

A cosmology seminar at Queen Mary University of London by Harry Desmond on Exhaustive Symbolic Regression

Fascinating cosmology seminar today by Harry Desmond on Exhaustive #SymbolicRegression - amazing to see the reconstructions of equations from cosmological data! Do let me know if you've seen other great examples of this kind of technique!

Where are we now? | Proceedings of the Genetic and Evolutionary Computation Conference

Where are we now? A large benchmark study of recent symbolic regression methods (2018) dl.acm.org/doi/abs/10.1... #GECCO #geneticprogramming #symbolicregression

Enhanced Monte Carlo Tree Search Boosts Symbolic Regression Performance

New Monte Carlo Tree Search for symbolic regression adds extreme bandit allocation and state‑jumping actions, speeding optimum discovery. Code on GitHub. Read more: getnews.me/enhanced-monte-carlo-tre... #symbolicregression #montecarlotreesearch

Enhanced Monte Carlo Tree Search Boosts Symbolic Regression Performance

An improved Monte Carlo Tree Search framework adds extreme bandit allocation and state‑jumping actions, boosting symbolic regression accuracy; code is on GitHub. getnews.me/enhanced-monte-carlo-tre... #symbolicregression #montecarlotreesearch

KAN-SR: AI-Driven Symbolic Regression Framework Advances Equation Discovery

KAN‑SR blends Kolmogorov‑Arnold Networks with symbolic regression, recovering equations on the Feynman SRSD benchmark and modeling bioprocesses via neural CDEs. Read more: getnews.me/kan-sr-ai-driven-symboli... #symbolicregression #kan

(Exhaustive) Symbolic Regression and model selection by minimum
description length
Harry Desmond
Paper
Details
#SymbolicRegression #MDLPrinciple #MachineLearningInnovations

Who needs more more VC funding: Kepler or Newton?
youtu.be/jxB-lQyAAxU?...
icml.cc/virtual/2025... #WorldModel #SyntheticData #InductiveBiasProbe #FoundationModel #SymbolicRegression #Nonsensical #MLModels

Transparent, human-readable models from raw data. At this point, KAN sceptics haven’t just eaten their hats — they’ve devoured the rest of their wardrobe too.

arxiv.org/pdf/2505.0...

#AI #KAN #LLM #SymbolicRegression #ExplainableAI #MachineLearning

Report on the Royal Society Discussion Meeting on Symbolic Regression in… | Gabriel Kronberger Here is my summary of the Symbolic Regression in Physical Sciences meeting (together with Fabricio Olivetti de França and Bogdan Burlacu). My three take-home messages: 🧐 Better priors and additiona...

Here's a little summary of the #symbolicregression in Physical Sciences meeting hosted at the #royalsociety . Plenty of interesting discussions and perspectives for the future of SR: www.linkedin.com/posts/gabrie...

rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models Regression analysis is used for prediction and to understand the effect of independent variables on dependent variables. Symbolic regression (SR) automates the search for non-linear regression models,...

This paper will be presented at #GECCO2025 but you can already read the pre-print at arxiv.org/abs/2501.17859

The source-code and binaries are available at github.com/folivetti/sr... together with additional info.

#GECCO2025 #SymbolicRegression #GeneticProgramming

⚠️(another) New paper alert

rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models introduces a new tool for symbolic models that allow the user to go beyond the traditional Pareto front.
#GECCO2025 #SymbolicRegression #GeneticProgramming

⚠️New paper alert ⚠️

Improving Genetic Programming for Symbolic Regression with Equality Graphs exploits e-graphs to generate equivalent expressions proposes new operators that creates unvisited expressions during the search.

#GECCO2025 #SymbolicRegression #GeneticProgramming

Symbolic Regression Workshop | HEAL

Time is on your side? Yes it is!
The deadline for the #symbolicregression workshop at #gecco2025, was just extended to April 2nd! We are looking forward for your submissions! More info: heal.heuristiclab.com/research/sym...

Symbolic Regression Workshop | HEAL

You are all preparing some cool papers for #symbolicregression workshop at #gecco2025, right? Just remember, the deadline is on March 26! Share your new and cool ideas with this ever growing community! More info: heal.heuristiclab.com/research/sym...

5 PhD Positions

5 PhD positions for a project on Wireless THz Communication between TU Wien and University of Applied Sciences Upper Austria. One of such positions is about equation learning with #symbolicregression . Don't miss this opportunity! More info: jobs.tuwien.ac.at/Job/246521

Symbolic Regression Workshop | HEAL

We have a date! #symbolicregression workshop at #gecco2025 now has a deadline: March 26. Be sure to share your cool ideas with us heal.heuristiclab.com/research/sym...

Hey #symbolicregression folks! Are you working on something novel, crazy, bound to uncover the secrets of the universe? Don't keep it to yourself, join us at #gecco2025 SymReg workshop and let's discuss it over a coffee: heal.heuristiclab.com/research/sym... (deadline tbd) #geneticprogramming