3/30/2026
An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
LP-based sampling policy for multi-armed bandits with network-enabled side-observations and stochastic action availability.
3/30/2026
A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems
Lightweight self-adaptive ML framework for DC arc-fault detection in photovoltaic systems addressing hardware heterogeneity and environmental noise.
3/30/2026
KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening
Kolmogorov-Arnold Network ensemble learning for early hit enrichment in virtual screening with improved positive predictive value metrics.
3/30/2026
A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning
Method for automatic timestep selection in Diffusion Transformers to improve efficiency of discriminative representation learning.
3/30/2026
SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
Variational autoencoder with adaptive Hidden Markov priors for unsupervised blind source separation with source-specific temporal modeling.
3/30/2026
A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation
Judge Agent system using automated mathematical validation to reduce silent failures in LLM-generated scientific simulation code from 42% to 1.5%.
3/30/2026
Vision Transformers and Graph Neural Networks for Charged Particle Tracking in the ATLAS Muon Spectrometer
Vision Transformers and GNNs for charged particle track reconstruction in ATLAS muon spectrometer under high luminosity conditions.
3/30/2026
Beyond identifiability: Learning causal representations with few environments and finite samples
Theoretical guarantees for learning causal representations from limited environments and finite samples.
3/30/2026
Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment
Study evaluating whether Vision Transformer architectures universally require register tokens to eliminate attention map artifacts.
3/30/2026
ExVerus: Verus Proof Repair via Counterexample Reasoning
LLM framework for formal proof repair using counterexample-guided reasoning and behavioral feedback to improve automated verification.
3/30/2026
Doctorina MedBench: End-to-End Evaluation of Agent-Based Medical AI
Comprehensive evaluation framework for agent-based medical AI systems via multi-step clinical dialogue simulation with realistic physician-patient interactions.
3/30/2026
A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau System
Neural score-based particle method for simulating collisional plasma kinetics in the Vlasov-Maxwell-Landau system.
3/30/2026
Speech-Synchronized Whiteboard Generation via VLM-Driven Structured Drawing Representations
Dataset and VLM method for generating whiteboard animations synchronized with speech narration across STEM domains using structured drawing representations.
3/30/2026
Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
Real-world evaluation of visual navigation foundation models on robot navigation, testing generalization and providing trajectory quality metrics.
3/30/2026
Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction Datasets
Vision-language learning approach for end-to-end autonomous driving using multimodal datasets and collision-aware representation learning.
3/30/2026
Globalized Adversarial Regret Optimization: Robust Decisions with Uncalibrated Predictions
Optimization framework for robust decisions when predictions lack calibrated error bounds, combining robust and regret formulations.
3/30/2026
A Priori Sampling of Transition States with Guided Diffusion
Method using guided diffusion to sample transition states on potential energy surfaces for chemical reaction and conformational change prediction.
3/30/2026
Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression
Theoretical analysis of rank selection for low-rank tensor regression with applications to neural network compression and model optimization.
3/30/2026
MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality
Transformer model for survival prediction from incomplete multimodal medical data using modality-specific representation learning and diffusion.
3/30/2026
CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection
Test-time adaptation framework combining subtractive and additive approaches for object detection under adverse weather domain shifts.
3/30/2026
A Human-Inspired Decoupled Architecture for Efficient Audio Representation Learning
Decoupled audio transformer architecture inspired by human cognition for efficient self-supervised learning on resource-constrained devices.
3/30/2026
Finding Distributed Object-Centric Properties in Self-Supervised Transformers
Analysis of object discovery in self-supervised Vision Transformers, showing how [CLS] token attention maps contain spurious activations affecting localization.
3/30/2026
Dual-Stage Invariant Continual Learning under Extreme Visual Sparsity
Continual learning method for object detection under extreme visual sparsity conditions using dual-stage invariant learning.
3/30/2026
On associative neural networks for sparse patterns with huge capacities
Higher-order associative memory models combining exponential interactions with sparse pattern storage for improved storage capacity.
3/30/2026
Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms
Analysis of privacy-accuracy trade-offs in high-dimensional sparse linear regression using differential privacy mechanisms and approximate message passing.
3/30/2026
Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR
Method for compressing conversational audio context in LLM-based speech recognition systems, studying multimodal context from prior turns for improved ASR.
3/30/2026
ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction
Mixed-resolution vision transformer with adaptive token allocation for efficient dense feature extraction using coarse-to-fine processing.
3/30/2026
GLASS: Geometry-aware Local Alignment and Structure Synchronization Network for 2D-3D Registration
Vision network for 2D-3D image-to-point-cloud registration using geometry-aware local alignment and structural synchronization.
3/30/2026
Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
Approach for merging multiple LoRA modules while preserving subspace coverage and addressing directional anisotropy to maintain task representation in general-purpose systems.
3/30/2026
Semi-structured multi-state delinquency model for mortgage default
Semi-structured discrete-time model combining additive predictors with neural networks for mortgage delinquency analysis and default prediction.
3/30/2026
SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning
Benchmark for evaluating machine unlearning in multimodal models like CLIP, introducing SALMUBench with 60K persona-attribute associations for fine-grained forgetting evaluation.
3/30/2026
Label-Free Cross-Task LoRA Merging with Null-Space Compression
Method for merging independently fine-tuned LoRA adapters across heterogeneous tasks using null-space compression, addressing classification-regression task combinations.
3/30/2026
STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
Tensor-network surrogate for efficient option pricing in portfolio risk management using tensor-train approximation.
3/30/2026
Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?
Graph-learning algorithm (MED-MAGMA) for fitting Kronecker-sum-structured models with multiplicative noise in genomics applications.
3/30/2026
A Power-Weighted Noncentral Complex Gaussian Distribution
Power-weighted noncentral complex Gaussian distribution for signal processing and communications with non-Gaussian amplitude characteristics.
3/30/2026
Generative Score Inference for Multimodal Data
Generative approach for uncertainty quantification in multimodal supervised learning combining images and text data.
3/30/2026
Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation
Theoretical analysis of Kantorovich-kernel neural network operators with density results, convergence estimates, and Korovkin theorems.
3/30/2026
Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
Diffusion models for reconstructing quantum dot charge stability diagrams to accelerate quantum processor characterization.
3/30/2026
Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
Meta-learning framework for human mesh recovery from images using optimization-friendly initializations and uncertainty-aware updates.
3/30/2026
UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models
UNIFERENCE: discrete-event simulation framework for developing and benchmarking distributed AI inference algorithms across heterogeneous devices and networks.
3/30/2026
Conditional Neural Bayes Ratio Estimation for Experimental Design Optimisation
Conditional Neural Bayes Ratio Estimation (cNBRE) for experimental design optimization in frontier physics, applied to 21-cm radio cosmology.
3/30/2026
Identifying Connectivity Distributions from Neural Dynamics Using Flows
Low-rank RNN approach using flows to infer neural connectivity structure from population recordings while addressing degeneracy in neural dynamics.
3/30/2026
AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
AMALIA: fully open source LLM trained on high-quality European Portuguese data with native evaluation benchmark and improved pt-PT representation.
3/30/2026
ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs
ALBA: linguistically grounded benchmark for evaluating LLM performance on European Portuguese, addressing underrepresentation in existing benchmarks.
3/30/2026
From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
ToothCraft: diffusion model for automated dental crown completion using synthetic training data and contextual generation from incomplete teeth.
3/30/2026
Sustainability Is Not Linear: Quantifying Performance, Energy, and Privacy Trade-offs in On-Device Intelligence
Experimental pipeline profiling energy consumption, latency, and quality trade-offs for deploying LLMs on edge devices with hardware constraints.
3/30/2026
Machine Learning Transferability for Malware Detection
Study evaluating ML feature compatibility and transferability across malware detection datasets under distribution shifts.
3/30/2026
PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning
Video benchmark for complex perception reasoning requiring multiple temporally separated visual evidence pieces and compositional logic.
3/30/2026
Tunable Soft Equivariance with Guarantees
Framework for constructing soft equivariant computer vision models by projecting weights into designed subspaces with theoretical bounds.
3/30/2026
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients
Deep symbolic regression using policy gradients with complexity awareness for interpretable data-driven mathematical expression discovery.