Papers
12094 papers
ICML2025
Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
Summary pending...
Prompt UnderspecificationInterpretabilityExplainable AI
ICML2025
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Summary pending...
MonotonicNeural Network
ICML2025
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
Summary pending...
Differential PrivacyMarkov Chain Monte Carlo MethodsGirsanov's theorem
ICML2025
Doubly Robust Fusion of Many Treatments for Policy Learning
Summary pending...
calibration weightingindividualized treatment rulefused Lasso
ICML2025
Adaptive kernel predictors from feature-learning infinite limits of neural networks
Summary pending...
Kernel methods; feature learning; Bayesian networks
ICML2025
A Variational Framework for Improving Naturalness in Generative Spoken Language Models
Summary pending...
Generative Spoken Language Modeling;Speech Language Model
ICML2025
Hessian Geometry of Latent Space in Generative Models
Summary pending...
fisher metrichessian metricdiffusion models
ICML2025
Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
Summary pending...
Graph Neural NetworksGeneralizationData Augmentation
ICML2025
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Summary pending...
Probability flowScore flowDiffusion models
ICML2025
Automatic Reward Shaping from Confounded Offline Data
Summary pending...
CausalityReinforcement LearningReward Shaping
ICML2025
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
Summary pending...
Principal-agent problemIncentive designRegret Minimization
ICML2025
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Summary pending...
theorylower boundschain-of-thought
ICML2025
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
Summary pending...
Sparse Fine-tuningLow-Rank ApproximationMemory Efficiency
ICML2025
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
Summary pending...
Multi-Agent Path PlanningDiffusion Models
ICML2025
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
Summary pending...
graph neural networksgraphsmissing features
ICML2025
Features are fate: a theory of transfer learning in high-dimensional regression
Summary pending...
transfer learningfeature learningrandom matrix theory
ICML2025
On Measuring Long-Range Interactions in Graph Neural Networks
Summary pending...
long-rangeGNNs
ICML2025
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
Summary pending...
NeurosciencefMRI
ICML2025
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
Summary pending...
Tabular LLMModel MultiplicityFew-shot Learning
ICML2025
Conditioning Diffusions Using Malliavin Calculus
Summary pending...
BridgesOptimal controlstochastic differential equations