Programacion Genetica en Java: motor que evoluciona expresiones para regresion simbolica. Arboles, escalado lineal, elitismo, parsimonia, 61 tests.
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
May 28, 2026 at 5:20 PM
Programacion Genetica en Java: motor que evoluciona expresiones para regresion simbolica. Arboles, escalado lineal, elitismo, parsimonia, 61 tests.
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
https://github.com/RGiskard7/genetic-programming-java
https://tinyurl.com/29qbm9u8
#GeneticProgramming #Java #SymbolicRegression
Our new preprint on using agentic AI to autonomously configure genetic programming for symbolic regression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
August 19, 2026 at 3:59 PM
Our new preprint on using agentic AI to autonomously configure genetic programming for symbolic regression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
arxiv.org/abs/2608.17172
#agenticAI #geneticprogramming #symbolicregression
⚠️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
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
April 9, 2025 at 12:29 PM
⚠️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
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
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...
Symbolic Regression Workshop | HEAL
heal.heuristiclab.com
February 15, 2025 at 2:33 PM
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...
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
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
doi.org
February 13, 2026 at 3:07 PM
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
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
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
arxiv.org/pdf/2505.0...
#AI #KAN #LLM #SymbolicRegression #ExplainableAI #MachineLearning
May 17, 2025 at 8:04 PM
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
arxiv.org/pdf/2505.0...
#AI #KAN #LLM #SymbolicRegression #ExplainableAI #MachineLearning
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
January 14, 2025 at 8:31 PM
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
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
5 PhD Positions
jobs.tuwien.ac.at
February 24, 2025 at 7:15 PM
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 and Differentiable Fits in Beyond the Standard Model
Physics
Deaglan Bartlett, Miguel Crispim Romão et al.
Paper
Details
#SymbolicRegression #BeyondStandardModelPhysics #CrispimRomaoBartlettCollaboration
Physics
Deaglan Bartlett, Miguel Crispim Romão et al.
Paper
Details
#SymbolicRegression #BeyondStandardModelPhysics #CrispimRomaoBartlettCollaboration
October 29, 2025 at 4:01 PM
Symbolic Regression and Differentiable Fits in Beyond the Standard Model
Physics
Deaglan Bartlett, Miguel Crispim Romão et al.
Paper
Details
#SymbolicRegression #BeyondStandardModelPhysics #CrispimRomaoBartlettCollaboration
Physics
Deaglan Bartlett, Miguel Crispim Romão et al.
Paper
Details
#SymbolicRegression #BeyondStandardModelPhysics #CrispimRomaoBartlettCollaboration
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
doi.org/10.59717/j.x...
#symbolicregression #diffusioncoefficient
March 16, 2026 at 5:11 AM
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
doi.org/10.59717/j.x...
#symbolicregression #diffusioncoefficient
Where are we now? A large benchmark study of recent symbolic regression methods (2018) dl.acm.org/doi/abs/10.1... #GECCO #geneticprogramming #symbolicregression
Where are we now? | Proceedings of the Genetic and Evolutionary Computation Conference
dl.acm.org
September 30, 2025 at 10:32 PM
Where are we now? A large benchmark study of recent symbolic regression methods (2018) dl.acm.org/doi/abs/10.1... #GECCO #geneticprogramming #symbolicregression
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...
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
heal.heuristiclab.com
March 24, 2025 at 8:35 PM
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...
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...
⚠️(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
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
April 9, 2025 at 4:20 PM
⚠️(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
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
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...
Symbolic Regression Workshop | HEAL
heal.heuristiclab.com
March 12, 2025 at 10:16 AM
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...
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!
October 15, 2025 at 4:26 PM
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!
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...
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...
www.linkedin.com
May 12, 2025 at 11:24 AM
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...
Watch symbolic regression in action www.kenreid.co.uk/blog/genetic... #geneticprogramming #symbolicregression #machinelearning
Genetic Programming, Live
Genetic programming in your browser: watch a population of expression trees evolve to fit a hidden curve, read the best program as it grows.
www.kenreid.co.uk
August 25, 2026 at 2:19 PM
Watch symbolic regression in action www.kenreid.co.uk/blog/genetic... #geneticprogramming #symbolicregression #machinelearning
New Monte Carlo Tree Search for symbolic regression adds extreme bandit allocation and state‑jumping actions, speeding optimum discovery. Code on GitHub. Read more: https://getnews.me/enhanced-monte-carlo-tree-search-boosts-symbolic-regression-performance-2/ #symbolicregression #montecarlotreesearch
September 27, 2025 at 4:55 AM
New Monte Carlo Tree Search for symbolic regression adds extreme bandit allocation and state‑jumping actions, speeding optimum discovery. Code on GitHub. Read more: https://getnews.me/enhanced-monte-carlo-tree-search-boosts-symbolic-regression-performance-2/ #symbolicregression #montecarlotreesearch
An improved Monte Carlo Tree Search framework adds extreme bandit allocation and state‑jumping actions, boosting symbolic regression accuracy; code is on GitHub. https://getnews.me/enhanced-monte-carlo-tree-search-boosts-symbolic-regression-performance/ #symbolicregression #montecarlotreesearch
September 22, 2025 at 2:04 PM
An improved Monte Carlo Tree Search framework adds extreme bandit allocation and state‑jumping actions, boosting symbolic regression accuracy; code is on GitHub. https://getnews.me/enhanced-monte-carlo-tree-search-boosts-symbolic-regression-performance/ #symbolicregression #montecarlotreesearch
KAN‑SR blends Kolmogorov‑Arnold Networks with symbolic regression, recovering equations on the Feynman SRSD benchmark and modeling bioprocesses via neural CDEs. Read more: https://getnews.me/kan-sr-ai-driven-symbolic-regression-framework-advances-equation-discovery/ #symbolicregression #kan
September 17, 2025 at 3:26 AM
KAN‑SR blends Kolmogorov‑Arnold Networks with symbolic regression, recovering equations on the Feynman SRSD benchmark and modeling bioprocesses via neural CDEs. Read more: https://getnews.me/kan-sr-ai-driven-symbolic-regression-framework-advances-equation-discovery/ #symbolicregression #kan
📄 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
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
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
ui.adsabs.harvard.edu
December 27, 2025 at 2:24 AM
📄 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
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
Who needs more more VC funding: Kepler or Newton?
youtu.be/jxB-lQyAAxU?...
icml.cc/virtual/2025... #WorldModel #SyntheticData #InductiveBiasProbe #FoundationModel #SymbolicRegression #Nonsensical #MLModels
youtu.be/jxB-lQyAAxU?...
icml.cc/virtual/2025... #WorldModel #SyntheticData #InductiveBiasProbe #FoundationModel #SymbolicRegression #Nonsensical #MLModels
The Truth about AI is Devastating: Proof by MIT, Harvard
YouTube video by Discover AI
youtu.be
July 14, 2025 at 9:10 PM
Who needs more more VC funding: Kepler or Newton?
youtu.be/jxB-lQyAAxU?...
icml.cc/virtual/2025... #WorldModel #SyntheticData #InductiveBiasProbe #FoundationModel #SymbolicRegression #Nonsensical #MLModels
youtu.be/jxB-lQyAAxU?...
icml.cc/virtual/2025... #WorldModel #SyntheticData #InductiveBiasProbe #FoundationModel #SymbolicRegression #Nonsensical #MLModels
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
The source-code and binaries are available at github.com/folivetti/sr... together with additional info.
#GECCO2025 #SymbolicRegression #GeneticProgramming
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,...
arxiv.org
April 9, 2025 at 4:20 PM
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
The source-code and binaries are available at github.com/folivetti/sr... together with additional info.
#GECCO2025 #SymbolicRegression #GeneticProgramming
(Exhaustive) Symbolic Regression and model selection by minimum
description length
Harry Desmond
Paper
Details
#SymbolicRegression #MDLPrinciple #MachineLearningInnovations
description length
Harry Desmond
Paper
Details
#SymbolicRegression #MDLPrinciple #MachineLearningInnovations
July 19, 2025 at 11:51 PM
(Exhaustive) Symbolic Regression and model selection by minimum
description length
Harry Desmond
Paper
Details
#SymbolicRegression #MDLPrinciple #MachineLearningInnovations
description length
Harry Desmond
Paper
Details
#SymbolicRegression #MDLPrinciple #MachineLearningInnovations
What if AI could discover laws of nature with the curiosity of a scientist? KeplerAgent challenges LLMs to reason stepwise about physics, not just output equations. Feels like a bridge toward real scientific collaboration between humans and machines.
AI equationDiscovery physics symbolicRegression
AI equationDiscovery physics symbolicRegression
Think like a Scientist: Physics-guided LLM Agent for Equation Discovery
arxiv.org
June 4, 2026 at 1:44 PM
What if AI could discover laws of nature with the curiosity of a scientist? KeplerAgent challenges LLMs to reason stepwise about physics, not just output equations. Feels like a bridge toward real scientific collaboration between humans and machines.
AI equationDiscovery physics symbolicRegression
AI equationDiscovery physics symbolicRegression