Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders

Conformal Prediction with Upper and Lower Bound Models

Curved representational Bregman divergences and their applications

Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems

MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory

Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks

Data-Driven Dynamic Factor Modeling via Manifold Learning

MILAAP: Mobile Link Allocation via Attention-based Prediction

MAIZX: A Carbon-Aware Framework for Optimizing Cloud Computing Emissions

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing

PocketVina Enables Scalable and Highly Accurate Physically Valid Docking through Multi-Pocket Conditioning

A Principled Path to Fitted Distributional Evaluation

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks

Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox

Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis

Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data

Exploration-Exploitation Tradeoff in Universal Lossy Compression

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning

Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design

A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization

POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes

Scalable Subset Selection in Linear Mixed Models