Papers

12094 papers

ICML2025

Learning Latent Graph Structures and their Uncertainty

Summary pending...

Graph Structure LearningGraph Neural Networks
ICML2025

Explaining the role of Intrinsic Dimensionality in Adversarial Training

Summary pending...

adversarial trainingrobustnessdata manifold
ICML2025

Models of Heavy-Tailed Mechanistic Universality

Summary pending...

heavy tailsrandom matrix theoryBayesian learning theory
ICML2025

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL

Summary pending...

offline reinforcement learningselective state-adaptive regularizationoffline-to-online reinforcement learning
ICML2025

Aggregation Buffer: Revisiting DropEdge with a New Parameter Block

Summary pending...

Graph neural networksDropEdgedata augmentation
ICML2025

Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs

Summary pending...

Nearest neighbor search
ICML2025

X-Hacking: The Threat of Misguided AutoML

Summary pending...

explainable AISHAPAutoML
ICML2025

When to retrain a machine learning model

Summary pending...

retraining;sequence modeling; forecasting performance
ICML2025

Benign Overfitting in Token Selection of Attention Mechanism

Summary pending...

Attention mechanismtoken selectionbenign overfitting
ICML2025

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph

Summary pending...

graph neural networksout of distributionsample reweighting
ICML2025

Learning the Electronic Hamiltonian of Large Atomic Structures

Summary pending...

Density Functional TheoryEquivariant Graph NetworksMaterials Science
ICML2025

A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression

Summary pending...

Uncertainty QuantificationMultivariate regressionConformal Prediction
ICML2025

Continuous Semi-Implicit Models

Summary pending...

Semi-Implicit Variational InferenceScore-Based Generative ModelsDiffusion Models Distillation
ICML2025

Multi-Objective Causal Bayesian Optimization

Summary pending...

CausalityMulti-Objective Bayesian Optimisation
ICML2025

Federated Learning for Feature Generalization with Convex Constraints

Summary pending...

Federated LearningConvex Optimization
ICML2025

AffinityFlow: Guided Flows for Antibody Affinity Maturation

Summary pending...

flow matchingco-teachingprotein design
ICML2025

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch

Summary pending...

Bayesian OptimizationLLMAcquisition Functions
ICML2025

The impact of uncertainty on regularized learning in games

Summary pending...

Follow the regularized leaderuncertaintyNash equilibrium
ICML2025

Geometry-Informed Neural Networks

Summary pending...

geometryimplicit neural representationneural fields
ICML2025

WILTing Trees: Interpreting the Distance Between MPNN Embeddings

Summary pending...

Weisfeiler Leman testGraph Neural NetworksInterpretability