Papers
12094 papers
TMLR2025
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
Summary pending...
TMLR2025
ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and Segmentation
Summary pending...
TMLR2025
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
Summary pending...
TMLR2025
Batch Entanglement Detection in Parameterized Qubit States using Classical Bandit Algorithms
Summary pending...
TMLR2025
AEAP: A Reinforcement Learning Actor Ensemble Algorithm with Adaptive Pruning
Summary pending...
TMLR2025
Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
Summary pending...
TMLR2025
The inexact power augmented Lagrangian method for constrained nonconvex optimization
Summary pending...
TMLR2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Summary pending...
TMLR2025
Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching
Summary pending...
TMLR2025
Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification
Summary pending...
TMLR2025
Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields
Summary pending...
TMLR2025
Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models
Summary pending...
TMLR2025
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Summary pending...