"inductive biases" Papers
12 papers found
Conference
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
Jack Cook, Danyal Akarca, Rui Costa et al.
NEURIPS 2025arXiv:2506.02813
4
citations
Generalization through variance: how noise shapes inductive biases in diffusion models
John Vastola
ICLR 2025arXiv:2504.12532
18
citations
Is Your Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.
NEURIPS 2025
Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
Jiacheng You, Xinyang Chen, Yu Sun et al.
NEURIPS 2025oral
Probing Neural Combinatorial Optimization Models
Zhiqin Zhang, Yining Ma, Zhiguang Cao et al.
NEURIPS 2025spotlightarXiv:2510.22131
1
citations
Scalable Evaluation and Neural Models for Compositional Generalization
Giacomo Camposampiero, Pietro Barbiero, Michael Hersche et al.
NEURIPS 2025arXiv:2511.02667
Which Algorithms Have Tight Generalization Bounds?
Michael Gastpar, Ido Nachum, Jonathan Shafer et al.
NEURIPS 2025spotlightarXiv:2410.01969
Neural Redshift: Random Networks are not Random Functions
Damien Teney, Armand Nicolicioiu, Valentin Hartmann et al.
CVPR 2024arXiv:2403.02241
36
citations
Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
Micah Goldblum, Marc Finzi, Keefer Rowan et al.
ICML 2024spotlight
60
citations
Position: Understanding LLMs Requires More Than Statistical Generalization
Patrik Reizinger, Szilvia Ujváry, Anna Mészáros et al.
ICML 2024spotlightarXiv:2405.01964
22
citations
Scaling Down Deep Learning with MNIST-1D
Sam Greydanus, Dmitry Kobak
ICML 2024arXiv:2011.14439
27
citations
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns et al.
ICML 2024arXiv:2404.10282
12
citations