:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tan, Elizabeth S. Z., Soubki, Adil, Cranmer, Miles
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.21307
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Examining Gender and Power on Wikipedia Through Face and Politeness
by: Soubki, Adil, et al.
Published: (2024)

Multimodal Belief Prediction
by: Murzaku, John, et al.
Published: (2024)

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)

Synthetic Audio Helps for Cognitive State Tasks
by: Soubki, Adil, et al.
Published: (2025)

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

SymMatika: Structure-Aware Symbolic Discovery
by: Scherk, Michael, et al.
Published: (2025)

Torch Geometric Pool: the PyTorch library for pooling in Graph Neural Networks
by: Abate, Carlo, et al.
Published: (2025)

UniSymNet: A Unified Symbolic Network Guided by Transformer
by: Li, Xinxin, et al.
Published: (2025)

SymbolFit: Automatic Parametric Modeling with Symbolic Regression
by: Tsoi, Ho Fung, et al.
Published: (2024)

Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024)

SymPlex: A Structure-Aware Transformer for Symbolic PDE Solving
by: Park, Yesom, et al.
Published: (2026)

ViSymRe: Vision Multimodal Symbolic Regression
by: Li, Da, et al.
Published: (2024)

A PyTorch Library of Turing-Complete Neural Networks
by: Bates, Jonathan
Published: (2026)

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
by: Li, Yanjie, et al.
Published: (2023)

Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators
by: Mukhopadhyay, Payel, et al.
Published: (2025)

SymLight: Exploring Interpretable and Deployable Symbolic Policies for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

Symbolic Regression on FPGAs for Fast Machine Learning Inference
by: Tsoi, Ho Fung, et al.
Published: (2023)

SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs
by: Liu, Ben, et al.
Published: (2025)

Intention and Face in Dialog
by: Soubki, Adil, et al.
Published: (2024)

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
by: Meyer, Nico, et al.
Published: (2024)

TorchAO: PyTorch-Native Training-to-Serving Model Optimization
by: Or, Andrew, et al.
Published: (2025)

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)

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
by: Wang, Yiting, et al.
Published: (2025)

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device
by: Nachin, Mergen, et al.
Published: (2026)

Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data
by: Drnevich, Matthew, et al.
Published: (2024)

Accelerating Giant Impact Simulations with Machine Learning
by: Lammers, Caleb, et al.
Published: (2024)

Symbol Correctness in Deep Neural Networks Containing Symbolic Layers
by: Bembenek, Aaron, et al.
Published: (2024)

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
by: Jia, Yuang, et al.
Published: (2025)

TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations
by: Pelaez, Raul P., et al.
Published: (2024)

SoftDTW-CUDA-Torch: Memory-Efficient GPU-Accelerated Soft Dynamic Time Warping for PyTorch
by: Weber, Ron Shapira, et al.
Published: (2026)

Operator Feature Neural Network for Symbolic Regression
by: Deng, Yusong, et al.
Published: (2024)

Neural Symbolic Regression of Complex Network Dynamics
by: Qiu, Haiquan, et al.
Published: (2024)

Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)

Symbolic Regression via Neural Networks
by: Boddupalli, Nibodh, et al.
Published: (2026)

SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
by: Zhang, Leo, et al.
Published: (2024)

TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery
by: Muthyala, Madhav, et al.
Published: (2024)

Logical Distillation of Graph Neural Networks
by: Pluska, Alexander, et al.
Published: (2024)

Dataset Distillation for Quantum Neural Networks
by: Phalak, Koustubh, et al.
Published: (2025)

Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
by: Meng, Jian, et al.
Published: (2024)