3/31/2026
Can pre-trained Deep Learning models predict groove ratings?
Study evaluating seven pre-trained deep learning models for predicting groove ratings from audio signals versus handcrafted features.
3/31/2026
StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh
StretchCast global-regional AI weather forecasting framework using variable-resolution cubed-sphere mesh for refined regional predictions.
3/31/2026
A Comparative Study in Surgical AI: Datasets, Foundation Models, and Barriers to Med-AGI
Comparative analysis of AI datasets, foundation models, and barriers to achieving general-purpose AI in surgical image analysis.
3/31/2026
D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learninging Robotic Manipulation
D-SPEAR dual-stream replay mechanism for stable off-policy reinforcement learning in robotic manipulation with contact-rich dynamics.
3/31/2026
Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
Rainbow-DemoRL combines multiple demonstration-augmented reinforcement learning strategies to improve sample efficiency using offline data.
3/31/2026
On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models
Theoretical study of relationships between Bayesian networks and structural causal models for probabilistic graphical modeling.
3/31/2026
CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing
CarbonEdge framework for carbon-aware deep learning inference at network edge, extending model partitioning to optimize environmental impact alongside latency.
3/31/2026
RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication
High-performance engine for low-bit matrix-vector multiplication enabling efficient inference in neural networks, vector databases, and LLMs.
3/31/2026
PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms
Open-source benchmark evaluating four AI-powered people search platforms across 119 queries for recruiting, sales, and expert search use cases.
3/31/2026
Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models
Introduces Hidden Ads backdoor attack class exploiting Vision-Language Models' recommendation behavior to inject unauthorized advertisements through natural triggers.
3/31/2026
Secure Reinforcement Learning: On Model-Free Detection of Man in the Middle Attacks
Extends Bellman Deviation Detection framework for model-free RL to detect man-in-the-middle attacks in cyber-physical systems with refined MDP attack models.
3/31/2026
RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning
RTLSeek uses multi-stage reinforcement learning to improve LLM-based RTL/Verilog generation with diverse hardware design implementations.
3/31/2026
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
Composer paradigm for test-time instance-specific parameter composition enabling adaptive generative models.
3/31/2026
Energy Score-Guided Neural Gaussian Mixture Model for Predictive Uncertainty Quantification
Neural Gaussian mixture model using energy score guidance for predictive uncertainty quantification in machine learning.
3/31/2026
LVRPO: Language-Visual Alignment with GRPO for Multimodal Understanding and Generation
LVRPO framework for language-visual alignment in multimodal foundation models using GRPO for understanding and generation.
3/31/2026
KAT-Coder-V2 Technical Report
KAT-Coder-V2 agentic coding model using five expert domains with specialized fine-tuning and unified distillation for software engineering tasks.
3/31/2026
Empirical Likelihood for Nonsmooth Functionals
Empirical likelihood framework for nonsmooth functionals in policy evaluation and statistical inference.
3/31/2026
Tracking without Seeing: Geospatial Inference using Encrypted Traffic from Distributed Nodes
Geospatial inference using encrypted packet-level traffic data from distributed sensor nodes without raw sensory access.
3/31/2026
jaxsgp4: GPU-accelerated mega-constellation propagation with batch parallelism
GPU-accelerated JAX library for SGP4 orbital propagation of mega-constellations enabling efficient space situational awareness.
3/31/2026
ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
ImagenWorld benchmark with 3.6K condition sets for stress-testing image generation models across six core tasks with human evaluation.
3/31/2026
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
Statistical guarantees for distributionally robust optimization using optimal transport divergences for adversarial robustness.
3/31/2026
Data is All You Need: Markov Chain Car-Following (MC-CF) Model
Markov chain-based car-following model for traffic flow using empirical probabilistic paradigm.
3/31/2026
Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Gennes
Physics-informed neural networks framework (Deflation-PINNs) that identifies multiple distinct solutions to nonlinear PDEs.
3/31/2026
FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
Privacy-preserving federated learning framework using flow-matching generation to improve robustness and aggregation in distributed training.
3/31/2026
BiFormer3D: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer
Transformer-based spatial upsampling of head-related impulse responses for binaural audio rendering.
3/31/2026
Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
Analysis of prompt injection attacks against LLM agents, tracking attack pipeline stages and defense mechanisms across five frontier models.
3/31/2026
Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models
Modular transformer approach for efficient domain adaptation in optical character recognition with reduced computational requirements.
3/31/2026
Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners
Research on how LLMs perform scientific reasoning tasks and how prompting affects their internal reasoning processes.
3/31/2026
Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
Training-free spectral modulation of diffusion model cross-attention via Fourier analysis for improved text-to-image control.
3/31/2026
Intelligent Road Condition Monitoring using 3D In-Air SONAR Sensing
3D SONAR sensors for road condition monitoring and damage classification in adverse weather conditions.
3/31/2026
A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
Deep reinforcement learning framework using PPO to train virtual agents for guiding fish school collective motion.
3/31/2026
Differentiable Power-Flow Optimization
Differentiable power-flow optimization using neural networks to replace Newton-Raphson methods for scalable grid simulation.
3/31/2026
Learning from imperfect quantum data via unsupervised domain adaptation with classical shadows
Domain adaptation method for quantum machine learning using classical shadows to handle distribution shift in quantum data.
3/31/2026
Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification
Multi-view learning approach with prototypes for thyroid ultrasound classification with improved robustness across devices.
3/31/2026
A Multi-Agent Rhizomatic Pipeline for Non-Linear Literature Analysis
Multi-agent pipeline for literature analysis using Deleuzian ontology to identify non-linear patterns in research landscapes.
3/31/2026
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
Framework for evolutionary GPU kernel optimization using evaluation-driven agent and evolutionary techniques for operator generation.
3/31/2026
Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images
Ensemble learning system combining deep learning and traditional classifiers for brain tumor MRI classification.
3/31/2026
The Scaffold Effect: How Prompt Framing Drives Apparent Multimodal Gains in Clinical VLM Evaluation
Analysis of prompt framing artifacts in vision-language model evaluation on clinical neuroimaging tasks.
3/31/2026
From Simulation to Deep Learning: Survey on Network Performance Modeling Approaches
Survey of network performance modeling approaches comparing traditional simulation with deep learning methods.
3/31/2026
Yau's Affine Normal Descent: Algorithmic Framework and Convergence Analysis
Novel geometric optimization framework using affine normal descent with invariance under volume-preserving transformations.
3/31/2026
$R_{dm}$: Re-conceptualizing Distribution Matching as a Reward for Diffusion Distillation
Diffusion distillation approach using reinforcement learning to improve student model performance beyond teacher anchoring.
3/31/2026
With a Little Help From My Friends: Collective Manipulation in Risk-Controlling Recommender Systems
Study of coordinated user manipulation tactics in recommendation systems through collective rating and review mechanisms.
3/31/2026
Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
Analysis of instructional alignment in cybersecurity exercises using multimodal data and Bloom's taxonomy coding.
3/31/2026
Towards a Medical AI Scientist
Medical AI Scientist system that autonomously generates hypotheses, conducts experiments, and writes manuscripts in clinical medicine.
3/31/2026
Universal Approximation Constraints of Narrow ResNets: The Tunnel Effect
Theoretical analysis of approximation constraints in narrow ResNets, proving inability to represent critical points.
3/31/2026
Unsafe2Safe: Controllable Image Anonymization for Downstream Utility
Automated pipeline using diffusion models to detect and anonymize sensitive regions in images while preserving utility.
3/31/2026
Constructing Composite Features for Interpretable Music-Tagging
Genetic programming pipeline for automatically evolving interpretable composite features for music tagging tasks.
3/31/2026
Why Aggregate Accuracy is Inadequate for Evaluating Fairness in Law Enforcement Facial Recognition Systems
Study of demographic bias and fairness issues in facial recognition systems used by law enforcement.
3/31/2026
On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
Method for improving diversity in text-to-image diffusion transformers through contextual space repulsion to address typicality bias.
3/31/2026
Algorithmic Insurance
Paper examining financial insurance mechanisms for AI system failures and algorithmic liability in high-stakes domains.