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A Bayesian machine scientist to aid in the solution of challenging
  scientific problems

A Bayesian machine scientist to aid in the solution of challenging scientific problems

25 April 2020
Roger Guimerà
I. Reichardt
Antoni Aguilar-Mogas
F. Massucci
Manuel Miranda
J. Pallarés
Marta Sales-Pardo
    AI4CE
ArXivPDFHTML

Papers citing "A Bayesian machine scientist to aid in the solution of challenging scientific problems"

5 / 5 papers shown
Title
On the definition and importance of interpretability in scientific machine learning
On the definition and importance of interpretability in scientific machine learning
Conor Rowan
Alireza Doostan
AI4CE
55
0
0
16 May 2025
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
Nolan Koblischke
Hyunseok Jang
Kristen Menou
M. Ali-Dib
99
2
0
30 Jan 2025
Generalizing the SINDy approach with nested neural networks
Generalizing the SINDy approach with nested neural networks
Camilla Fiorini
Clément Flint
Louis Fostier
Emmanuel Franck
Reyhaneh Hashemi
Victor Michel-Dansac
Wassim Tenachi
128
1
0
28 Jan 2025
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
Samiha Sharlin
Tyler R. Josephson
ReLM
LLMAG
LRM
72
2
0
22 Oct 2024
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
Stefan Kramer
Mattia Cerrato
Jannis Brugger
Sašo Džeroski
Ross King
57
11
0
03 May 2023
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