3/31/2026
EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection
Benchmark dataset for remote pulse wave detection using event cameras and multimodal physiological sensing.
3/31/2026
PI-Mamba: Linear-Time Protein Backbone Generation via Spectrally Initialized Flow Matching
Physics-informed generative model using Mamba architecture for efficient protein backbone design with linear-time complexity and improved structural fidelity.
3/31/2026
FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-low Power Microcontroller
FEMBA: bidirectional Mamba state-space model pre-trained on 21k hours EEG with physiologically-aware objectives for microcontroller deployment.
3/31/2026
Stress Classification from ECG Signals Using Vision Transformer
Vision Transformer applied to stress classification from ECG signals using STFT spectrograms for physiological signal analysis.
3/31/2026
Mixture of Experts with Soft Nearest Neighbor Loss: Resolving Expert Collapse via Representation Disentanglement
Enhanced mixture-of-experts architecture using soft nearest neighbor loss to prevent expert collapse and redundant representations.
3/31/2026
Do Multilingual VLMs Reason Equally? A Cross-Lingual Visual Reasoning Audit for Indian Languages
Cross-lingual evaluation of vision-language models on visual reasoning tasks across Indian languages, revealing performance disparities.
3/31/2026
Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract)
Framework integrating sparse autoencoders with dynamic head pruning in Vision Transformers for interpretable and controllable efficiency.
3/31/2026
TDEC: Deep Embedded Image Clustering with Transformer and Distribution Information
Deep image clustering using Transformers with distribution information fusion to improve clustering on high-dimensional multimedia data.
3/31/2026
From Diffusion To Flow: Efficient Motion Generation In MotionGPT3
MotionGPT3 replaces diffusion with rectified flow objectives for efficient text-driven motion generation with improved convergence.
3/31/2026
Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control
Evolution strategies warm-start reinforcement learning agents for industrial continuous control using CMA-ES-generated demonstrations.
3/31/2026
LogicDiff: Logic-Guided Denoising Improves Reasoning in Masked Diffusion Language Models
LogicDiff improves reasoning in masked diffusion language models by prioritizing logical connective tokens during inference-time denoising.
3/31/2026
Robot Arm Control via Cognitive Map Learners
Application of cognitive map learners for hierarchical, compositional robot arm control without task-specific retraining.
3/31/2026
BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting
Deep learning framework for forecasting black hole plasma accretion dynamics from single telescope images using long-term sequence modeling.
3/31/2026
Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
Privacy-preserving inference for spiking neural networks using fully homomorphic encryption to enable encrypted computation.
3/31/2026
Multiverse: Language-Conditioned Multi-Game Level Blending via Shared Representation
Language-conditioned multi-game procedural level generation using shared neural representations across different game domains.
3/31/2026
A Firefly Algorithm for Mixed-Variable Optimization Based on Hybrid Distance Modeling
Adaptation of Firefly Algorithm metaheuristic for optimization problems with mixed continuous, ordinal, and categorical variables.
3/31/2026
Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs
Deep learning method for genetic biomarker prediction from pathology images using dictionary-based representations and classifier debiasing.
3/31/2026
Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas
Benchmark evaluating implicit neural representations for zebrafish brain atlas registration and microscopy reconstruction tasks.
3/31/2026
Calorimeter Shower Superresolution with Conditional Normalizing Flows: Implementation and Statistical Evaluation
Data-driven superresolution technique using conditional normalizing flows to recover fine-grained calorimeter information in high energy physics simulations.
3/31/2026
Arithmetic OOD Failure Unfolds in Stages in Minimal GPTs
Study of why minimal GPTs fail at out-of-distribution arithmetic generalization, revealing staged failures from layout barriers to positional encoding limits.
3/31/2026
Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI
Survey of uncertainty-aware explainable AI methods, examining integration of uncertainty quantification (Bayesian, Monte Carlo, Conformal) into explanatory pipelines.
3/31/2026
Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation
Controlled evaluation of LLM implementation choices for political text annotation, testing model selection, size, and prompt engineering best practices.
3/31/2026
Comparing Physics-Informed and Neural ODE Approaches for Modeling Nonlinear Biological Systems: A Case Study Based on the Morris-Lecar Model
Comparative evaluation of physics-informed neural networks and neural ODEs for modeling nonlinear neuronal dynamics on Morris-Lecar model.
3/31/2026
Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
KOMET: model-agnostic framework using Koopman operators to track parameter evolution and handle temporal domain drift in non-stationary environments.
3/31/2026
Static and Dynamic Approaches to Computing Barycenters of Probability Measures on Graphs
Graph-supported barycenter computation for probability measures using Riemannian geometry for signal processing and machine learning applications.
3/31/2026
Multimodal Deep Learning for Diabetic Foot Ulcer Staging Using Integrated RGB and Thermal Imaging
Multimodal deep learning combining RGB and thermal imaging on Raspberry Pi for diabetic foot ulcer staging classification and monitoring.
3/31/2026
ASTER -- Agentic Science Toolkit for Exoplanet Research
ASTER: agentic toolkit using LLMs for exoplanet research workflows, combining archival queries, literature search, and radiative transfer models.
3/31/2026
Graph Attention Network-Based Detection of Autism Spectrum Disorder
Graph attention network classifier for autism spectrum disorder detection using fMRI brain imaging data and graph convolutional networks.
3/31/2026
Online Statistical Inference of Constant Sample-averaged Q-Learning
Online statistical inference framework for sample-averaged Q-learning to reduce variance and improve stability in reinforcement learning.
3/31/2026
On the Reliability Limits of LLM-Based Multi-Agent Planning
Analysis of reliability limits in LLM-based multi-agent planning systems modeled as decision networks with language-based communication constraints.
3/31/2026
FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?
FormalProofBench: benchmark evaluating whether LLMs can produce formally verified graduate-level mathematical proofs using Lean 4.
3/31/2026
Beyond Freshness and Semantics: A Coupon-Collector Framework for Effective Status Updates
Status update systems for wireless channels with energy constraints, modeling information freshness as expiring coupons for control applications.
3/31/2026
PHONOS: PHOnetic Neutralization for Online Streaming Applications
Speaker anonymization system that neutralizes non-native accents to sound native-like while preserving timbre for real-time streaming applications.
3/31/2026
On-Device Super Resolution Imaging Using Low-Cost SPAD Array and Embedded Lightweight Deep Learning
Lightweight neural network for super-resolution imaging from low-resolution SPAD arrays, reconstructing 256x256 images on embedded devices.
3/31/2026
Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent
Parameter estimation for stochastic differential equations using Wiener chaos expansion and stochastic gradient descent for computational efficiency.
3/31/2026
YOLO Object Detectors for Robotics -- a Comparative Study
Comparative study evaluating YOLO object detection models on robotics tasks using custom and COCO2017 datasets for workspace object detection.
3/31/2026
Material Identification using Multi-Modal Intrinsic Radiation and Radiography
Nuclear material identification using X-ray radiography, gamma-ray spectroscopy, and neutron measurements for plutonium sphere detection.
3/31/2026
Overcoming the Incentive Collapse Paradox
Study of incentive collapse paradox in AI-assisted task delegation showing accuracy improvements require unbounded payments without intervention mechanisms.
3/31/2026
Persona-Based Simulation of Human Opinion at Population Scale
Persona-based LLM approach for simulating diverse human opinions at population scale for social science interventions and consequence modeling.
3/31/2026
On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness
Theoretical analysis of loss landscape geometry in regularized deep matrix factorization proving unique minimizers under weight decay.
3/31/2026
Forecastability as an Information-Theoretic Limit on Prediction
Information-theoretic framework for forecasting measuring mutual information between future observations and information set as predictability limit.
3/31/2026
Sovereign Context Protocol: An Open Attribution Layer for Human-Generated Content in the Age of Large Language Models
Sovereign Context Protocol defines open runtime attribution layer for human-generated content used in LLM training and inference.
3/31/2026
PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
Systematic evaluation of segmentation and geospatial foundation models for global field boundary segmentation using FTW benchmark.
3/31/2026
Bayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
Bayes-MICE extends multiple imputation for time series missing data using Bayesian inference and MCMC sampling.
3/31/2026
Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography
Landmark-guided pose scoring system for automated transducer positioning in point-of-care cardiac ultrasound acquisition.
3/31/2026
Pan-Cancer Mapping of the Tumor Immune Landscape through Metagene Clustering and Predictive Modeling
Pan-cancer immune landscape mapping through metagene clustering and predictive modeling to identify immunotherapy response drivers.
3/31/2026
Weakly Convex Ridge Regularization for 3D Non-Cartesian MRI Reconstruction
Weakly convex ridge regularizer for 3D non-Cartesian MRI reconstruction providing stable variational alternative to deep learning methods.
3/31/2026
Conformal Prediction Assessment: A Framework for Conditional Coverage Evaluation and Selection
Conformal Prediction Assessment framework for evaluating conditional coverage validity in distribution-free prediction with finite-sample guarantees.
3/31/2026
LightMover: Generative Light Movement with Color and Intensity Controls
LightMover framework for controllable light manipulation in images using video diffusion priors for physically plausible illumination editing.
3/31/2026
Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis
Unsupervised evaluation of nine open-source pre-trained audio models on music structure analysis without requiring annotated training data.