Papers
12094 papers
ICLR2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
Summary pending...
AI for Science; Protein Design; Generative Models;
ICLR2025
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
Summary pending...
Peptide Sequencing
ICLR2025
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Summary pending...
diffusion modeltransformersmodel stitching
ICLR2025
The Directionality of Optimization Trajectories in Neural Networks
Summary pending...
optimizationtrajectoryredundancy
ICLR2025
Kernel-based Optimally Weighted Conformal Time-Series Prediction
Summary pending...
Conformal predictionNonparametric kernel regressionTime series
ICLR2025
DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance
Summary pending...
backpropagation-freeforward-forwardforward learning
ICLR2025
Generalizing Reasoning Problems to Longer Lengths
Summary pending...
length generalizationlearning to reasonlength extrapolation
ICLR2025
Control-oriented Clustering of Visual Latent Representation
Summary pending...
neural collapselearning from demonstrationvision-based learning control
ICLR2025
Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities
Summary pending...
Pedestrian DynamicsMixed Reality
ICLR2025
Advancing LLM Reasoning Generalists with Preference Trees
Summary pending...
ReasoningAlignmentData
ICLR2025
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
Summary pending...
minimum norm solutionridgeless estimatorbenign overfitting
ICLR2025
Test-time Adaptation for Regression by Subspace Alignment
Summary pending...
Test-time adaptationregressiondistribution shift
ICLR2025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
Summary pending...
large language models; optimization problem; data synthesis
ICLR2025
Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization
Summary pending...
Multi-Objective OptimizationMachine LearningDeep Learning
ICLR2025
Towards Neural Scaling Laws for Time Series Foundation Models
Summary pending...
Time seriesscaling lawfoundation model
ICLR2025
Variational Search Distributions
Summary pending...
black box optimizationBayesian optimizationvariational inference
ICLR2025
Doubly robust identification of treatment effects from multiple environments
Summary pending...
treatment effectconfoundingheterogenous data
ICLR2025
Revisiting Random Walks for Learning on Graphs
Summary pending...
Graph machine learningrandom walkinvariance
ICLR2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Summary pending...
Model-based Reinforcement LearningWorld ModelCausal Representation Learning
ICLR2025
Generalizable Motion Planning via Operator Learning
Summary pending...
Motion planningoperator learningvalue function approximation