Papers
12094 papers
ICML2025
Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
Summary pending...
principal support vector machinesneural networksnonlinear sufficient dimension reduction
ICML2025
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
Summary pending...
Cyclic peptide designdiffusion modelgeometrically constrained generation
ICML2025
Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*
Summary pending...
Decision TreesAND/OR searchAO*
ICML2025
When Can Proxies Improve the Sample Complexity of Preference Learning?
Summary pending...
AI safety; preference learning; RLHF; reward hacking; learning theory; proxy feedback
ICML2025
GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
Summary pending...
equivariant neural networkgeometric deep learninggeometric algebra
ICML2025
An in depth look at the Procrustes-Wasserstein distance: properties and barycenters
Summary pending...
Optimal transportProcrustes analysisPoint clouds
ICML2025
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
Summary pending...
Domain AdaptationUniversal Domain AdaptationMachine Learning
ICML2025
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
Summary pending...
Code GenerationSupervised Fine-TuningChain of thought
ICML2025
Random Feature Representation Boosting
Summary pending...
random featuresgradient boostinggradient representation boosting
ICML2025
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
Summary pending...
Multi-Armed BanditsCausal InferenceAverage Treatment Effect
ICML2025
Energy-Based Flow Matching for Generating 3D Molecular Structure
Summary pending...
flow matchingmolecular dockingprotein backbone generation
ICML2025
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
Summary pending...
Diffusion ModelClassifier Free GuidanceText-to-Image Generation
ICML2025
Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
Summary pending...
Approximation algorithmsBayesian E-optimal designmatrix concentration inequalities
ICML2025
Calibrated Physics-Informed Uncertainty Quantification
Summary pending...
Surrogate ModelsUncertainty QuantificationNeural-PDE
ICML2025
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
Summary pending...
data manifold geometryscore-based pullback Riemannian metricanisotropic normalizing flows
ICML2025
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
Summary pending...
data selectiondata curationinstruction tuning
ICML2025
Aligning LLMs by Predicting Preferences from User Writing Samples
Summary pending...
NLPLLMpreference learning
ICML2025
Learning Representations of Instruments for Partial Identification of Treatment Effects
Summary pending...
causal inferencepartial identificationinstrumental variables
ICML2025
Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
Summary pending...
Neural NetworksUncertainty PropagationPredictive Output Distribution