3/13/2026
Ill-Conditioning in Dictionary-Based Dynamic-Equation Learning: A Systems Biology Case Study
Study of numerical ill-conditioning in sparse regression methods for discovering dynamic equations from biological time-series data.
3/13/2026
On the Computational Hardness of Transformers
Research on computational complexity of transformer architectures, analyzing attention mechanisms across layers and heads.
3/13/2026
FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles
Benchmark for LLM reasoning over financial tables against accounting principles with rule-based verification.
3/13/2026
Spatially Robust Inference with Predicted and Missing at Random Labels
Statistical inference method for spatially dependent data with missing-at-random labels predicted by ML models.
3/13/2026
Continued Pretraining for Low-Resource Swahili ASR: Achieving State-of-the-Art Performance with Minimal Labeled Data
Continued pretraining approach for low-resource Swahili ASR achieving 3.24% WER with 20k labeled samples.
3/13/2026
Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol
Protocol for detecting intrinsic vs instrumental self-preservation behavior in autonomous agents through behavioral testing.
3/13/2026
Stop Listening to Me! How Multi-turn Conversations Can Degrade Diagnostic Reasoning
Study evaluating 17 LLMs on multi-turn diagnostic reasoning, showing performance degradation in conversation vs static benchmarks.
3/13/2026
Deployment-Time Reliability of Learned Robot Policies
Analysis of reliability in learned robot manipulation policies addressing distribution shift and compounding errors at deployment.
3/13/2026
Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
Comparison of self-supervised vs supervised representations for zero-shot cross-city autonomous driving generalization.
3/13/2026
Gen-Fab: A Variation-Aware Generative Model for Predicting Fabrication Variations in Nanophotonic Devices
Generative model predicting fabrication variations in silicon photonic nanophotonic devices using conditional GANs.
3/13/2026
Simultaneous estimation of multiple discrete unimodal distributions under stochastic order constraints
Statistical method for estimating multiple discrete unimodal distributions with stochastic order constraints.
3/13/2026
One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries
Agentic AI framework for multimodal query processing with dynamic tool orchestration across text, image, audio, video, and documents.
3/13/2026
Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild
Semantic correspondence for unsupervised image matching using fused Gromov-Wasserstein optimal transport.
3/13/2026
Causal Prosody Mediation for Text-to-Speech:Counterfactual Training of Duration, Pitch, and Energy in FastSpeech2
Causal framework for expressive text-to-speech synthesis using counterfactual training in FastSpeech2.
3/13/2026
Decomposing Observational Multiplicity in Decision Trees: Leaf and Structural Regret
Analysis of predictive multiplicity in decision trees arising from stochastic label collection and observational uncertainty.
3/13/2026
Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction
Vision Transformer with cross-resolution attention for high-resolution continental-scale PM2.5 air quality prediction.
3/13/2026
Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
Anomaly detection in multivariate time-series using conditional normalizing flows with latent space inductive biases.
3/13/2026
OSM-based Domain Adaptation for Remote Sensing VLMs
Domain adaptation approach for vision-language models in remote sensing using OpenStreetMap data without large teacher models.
3/13/2026
Hypercomplex Widely Linear Processing: Fundamentals for Quaternion Machine Learning
Research on quaternion-based machine learning for hypercomplex domains, focusing on 3D rotation modeling applications.
3/13/2026
Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting
Framework using prototype-based knowledge guidance and free-text reports to improve automated fine-grained structured radiology report generation.
3/13/2026
Learning Transferable Sensor Models via Language-Informed Pretraining
Self-supervised learning approach for multivariate time-series sensor data using language-informed pretraining to capture semantic structure.
3/13/2026
BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs
Benchmark comparing zero-shot text classification across cross-encoders, embedding models, rerankers, and LLMs for matching texts to label descriptions.
3/13/2026
Few-for-Many Personalized Federated Learning
arXiv paper on personalized federated learning (PFL) using multi-objective optimization to train customized models across clients with heterogeneous data.
3/13/2026
Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
arXiv paper on decentralized orchestration architecture for distributed AI/IoT across heterogeneous resources spanning edge and cloud platforms.
3/13/2026
AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling
arXiv paper on adaptive graph-enhanced multi-agent reinforcement learning (AGMARL-DKS) for intelligent Kubernetes scheduling balancing stability, utilization, and costs.
3/13/2026
Continual Learning with Vision-Language Models via Semantic-Geometry Preservation
arXiv paper on continual learning for vision-language models using semantic-geometry preservation to prevent catastrophic forgetting across tasks.
3/13/2026
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
arXiv paper on Wasserstein gradient flows for batch Bayesian optimal experimental design, addressing high-dimensional utility optimization challenges.
3/13/2026
Hoi3DGen: Generating High-Quality Human-Object-Interactions in 3D
arXiv paper on Hoi3DGen framework for generating textured 3D meshes of human-object interactions from text for AR/XR/gaming applications.
3/13/2026
FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance
FlashMotion enables few-step trajectory-controllable video generation using distillation techniques to reduce computational overhead of multi-step denoising.
3/13/2026
Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials
Proof-Carrying Materials framework provides falsifiable safety certificates for machine-learned interatomic potentials in materials screening applications.
3/13/2026
IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse
IndexCache accelerates sparse attention in LLM agentic workflows by reusing cross-layer indices, improving inference speed and serving costs for long-context applications.
3/13/2026
HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers
HiAP proposes hierarchical auto-pruning for Vision Transformers reducing computational demands for edge deployment via multi-granular structured pruning.
3/13/2026
Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules
Method using fuzzy rules to interpret contrastive text embeddings in domain-specific applications like legal and medical records processing.
3/13/2026
BiGain: Unified Token Compression for Joint Generation and Classification
BiGain presents token compression framework for diffusion models balancing generation quality and classification via frequency separation, training-free and plug-and-play.
3/13/2026
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
Study examining reasoning LLMs used as judges for evaluating non-verifiable domains in post-training, testing inference-time scaling benefits for policy training.
3/13/2026
Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
Spatial-TTT proposes test-time training for streaming visual spatial understanding from video, addressing how spatial information is maintained over unbounded streams.
3/13/2026
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Graph deep learning model for drug response prediction and biomarker identification using heterogeneous drug-cell-gene networks with attention.
3/13/2026
Geometry of Singular Foliations and Learning Manifolds in ReLU Networks via the Data Information Matrix
Geometric analysis of ReLU networks using Data Information Matrix to understand data manifold structure and singular foliations.
3/13/2026
Stein Variational Evolution Strategies
Gradient-free variant of Stein Variational Gradient Descent combining evolution strategies for sampling from unnormalized distributions.
3/13/2026
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Orthogonal learner for quantifying aleatoric uncertainty in treatment effect estimation from observational medical data.
3/13/2026
Finance-Informed Neural Network: Learning the Geometry of Option Pricing
Finance-informed neural network for option pricing and hedging using self-supervised replication objective based on dynamic hedging theory.
3/13/2026
GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data
General Time-series Model with frequency-domain attention for enhanced representation learning on diverse time-series downstream tasks.
3/13/2026
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Higher-order guided diffusion model for graph generation that captures non-Euclidean topology using higher-order graph structures.
3/13/2026
Riemannian Variational Flow Matching for Material and Protein Design
Riemannian Gaussian Variational Flow Matching for generative modeling on manifolds applied to material and protein design.
3/13/2026
FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification
Aggregation-free federated learning method for medical image classification using multi-dimensional similarity knowledge distillation across heterogeneous client models.
3/13/2026
Structured Agent Distillation for Large Language Model
Framework for compressing large LLM-based ReAct agents into smaller student models while preserving reasoning and action consistency.
3/13/2026
Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
Framework for generative modeling with enforced physical constraints using split augmented Langevin sampling for scientific applications.
3/13/2026
Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models
Hierarchical differential model for inferring system degradation from sensor data by disentangling slow and fast temporal dynamics.
3/13/2026
Text-Trained LLMs Can Zero-Shot Extrapolate PDE Dynamics, Revealing a Three-Stage In-Context Learning Mechanism
Text-trained LLMs perform zero-shot extrapolation of PDE dynamics, revealing three-stage in-context learning mechanism for spatiotemporal forecasting.
3/13/2026
Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing
Mathematical study of Busemann functions in Wasserstein space with applications to geometric machine learning and data slicing.