Cover Image

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wyder, Philippe Martin, Goldfeder, Judah, Yermakov, Alexey, Zhao, Yue, Riva, Stefano, Williams, Jan P., Zoro, David, Rude, Amy Sara, Tomasetto, Matteo, Germany, Joe, Bakarji, Joseph, Maierhofer, Georg, Cranmer, Miles, Kutz, J. Nathan
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models
by: Riva, Stefano, et al.
Published: (2026)

The Seismic Wavefield Common Task Framework
by: Yermakov, Alexey, et al.
Published: (2025)

PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery
by: Ye, David, et al.
Published: (2025)

Discovery of Symbolic Hamiltonian Expressions with Buckingham-Symplectic Networks
by: Germany, Joe, et al.
Published: (2026)

T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders
by: Yermakov, Alexey, et al.
Published: (2025)

A superpersuasive autonomous policy debating system
by: Roush, Allen, et al.
Published: (2025)

Knolling Bot: Teaching Robots the Human Notion of Tidiness
by: Hu, Yuhang, et al.
Published: (2023)

Statistical Mechanics of Dynamical System Identification
by: Klishin, Andrei A., et al.
Published: (2024)

AI Must Embrace Specialization via Superhuman Adaptable Intelligence
by: Goldfeder, Judah, et al.
Published: (2026)

Beyond Cropping and Rotation: Automated Evolution of Powerful Task-Specific Augmentations with Generative Models
by: Goldfeder, Judah, et al.
Published: (2026)

UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engression
by: Gao, Mars Liyao, et al.
Published: (2026)

Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder Networks
by: Riva, Stefano, et al.
Published: (2025)

Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics
by: So, Matthew, et al.
Published: (2025)

Creative synthesis of kinematic mechanisms
by: Lin, Jiong, et al.
Published: (2025)

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
by: Paech, Samuel, et al.
Published: (2025)

Robust State Estimation from Partial Out-Core Measurements with Shallow Recurrent Decoder for Nuclear Reactors
by: Riva, Stefano, et al.
Published: (2024)

Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
by: Riva, Stefano, et al.
Published: (2025)

Discovering Multi-Scale Semantic Structure in Text Corpora Using Density-Based Trees and LLM Embeddings
by: Haschka, Thomas, et al.
Published: (2025)

Direct Robot Configuration Space Construction using Convolutional Encoder-Decoders
by: Benka, Christopher, et al.
Published: (2023)

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility
by: Riva, Stefano, et al.
Published: (2025)

LyTimeT: Towards Robust and Interpretable State-Variable Discovery
by: Yu, Kuai, et al.
Published: (2025)

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks
by: Goldfeder, Judah, et al.
Published: (2024)

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
by: Lin, Jiong, et al.
Published: (2024)

The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability
by: Goldfeder, Judah, et al.
Published: (2024)

Reduced Order Modeling with Shallow Recurrent Decoder Networks
by: Tomasetto, Matteo, et al.
Published: (2025)

Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024)

Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
by: Yermakov, Andrii, et al.
Published: (2025)

Evidence of an Emergent "Self" in Continual Robot Learning
by: Jhunjhunwala, Adidev, et al.
Published: (2026)

Generating Auxiliary Tasks with Reinforcement Learning
by: Goldfeder, Judah, et al.
Published: (2025)

LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)
by: Bao, Yuxuan, et al.
Published: (2026)

Probabilistic Retrofitting of Learned Simulators
by: Diaconu, Cristiana, et al.
Published: (2026)

Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model
by: Fear, Rio Alexa, et al.
Published: (2025)

A Taxonomy of Numerical Differentiation Methods
by: Komarov, Pavel, et al.
Published: (2025)

Deepfake Detection that Generalizes Across Benchmarks
by: Yermakov, Andrii, et al.
Published: (2025)

The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection
by: Yermakov, Andrii, et al.
Published: (2026)

An Interpretable Data-Driven Model of the Flight Dynamics of Hawks
by: France, Lydia, et al.
Published: (2026)

Exploring Human-AI Conceptual Alignment through the Prism of Chess
by: Lomasov, Semyon, et al.
Published: (2025)

Data-driven local operator finding for reduced-order modelling of plasma systems: I. Concept and verifications
by: Faraji, Farbod, et al.
Published: (2024)

Data-driven local operator finding for reduced-order modelling of plasma systems: II. Application to parametric dynamics
by: Faraji, Farbod, et al.
Published: (2024)

xVal: A Continuous Numerical Tokenization for Scientific Language Models
by: Golkar, Siavash, et al.
Published: (2023)