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#p_jegelka

GZW+25

SSL4RL: Revisiting Self-Supervised Learning as Intrinsic Reward for Visual-Language Reasoning

Preprint (Oct. 2025)

#p_jegelka

KTJ+25

Symmetries in Weight Space Learning: To Retain or Remove?

HiLD @ICML 2025

#p_jegelka

STJ+25

Learning With Exact Invariances in Polynomial Time

ICML 2025

#p_jegelka

DWL+25

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding

CVPR 2025

#p_cremers #p_jegelka

BLJ+25

A Projection-Based Framework for Gradient-Free and Parallel Learning

Preprint (Jun. 2025)

#p_jegelka #p_sra

SJ25

Learning Equivariant Models by Discovering Symmetries With Learnable Augmentations

Preprint (Jun. 2025)

#p_jegelka

GLW+25

G1: Teaching LLMs to Reason on Graphs With Reinforcement Learning

Preprint (May. 2025)

#p_jegelka

FWL+25

What Is Wrong With Perplexity for Long-Context Language Modeling?

ICLR 2025

#p_jegelka

RJL25

Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs

ICLR 2025

#p_jegelka

TJ25

Generalization Bounds for Canonicalization: A Comparative Study With Group Averaging

ICLR 2025

#p_jegelka

ZWC+25

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness

ICLR 2025

#p_jegelka

HJ25

Higher-Order Graphon Neural Networks: Approximation and Cut Distance

ICLR 2025

#p_jegelka

MWL+24

A Canonicalization Perspective on Invariant and Equivariant Learning

NeurIPS 2024

#p_jegelka

WHG+24

Understanding the Role of Equivariance in Self-Supervised Learning

NeurIPS 2024

#p_jegelka

WWW+24

A Theoretical Understanding of Self-Correction Through In-Context Alignment

NeurIPS 2024

#p_jegelka

YKL+24

Are Graph Neural Networks Optimal Approximation Algorithms?

NeurIPS 2024

#p_jegelka

BLS+24

Topologically Faithful Multi-Class Segmentation in Medical Images

MICCAI 2024

#p_bauer_u #p_jegelka #p_rueckert

GLR+24

Simplicity Bias via Global Convergence of Sharpness Minimization

Preprint (Oct. 2024)

#p_jegelka

GSR+24a

On the Role of Depth and Looping for In-Context Learning With Task Diversity

Preprint (Oct. 2024)

#p_jegelka

PLG+24

Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models

Preprint (Oct. 2024)

#p_jegelka

YAM+24

Learning Linear Attention in Polynomial Time

Preprint (Oct. 2024)

#p_jegelka
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0001-01-01 - Last modified: 0001-01-01