yusuke1997/dblp-id-title huggingface dataset:
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs
CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Lattice Structure of Variable Precision Rough Sets
Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity
Data Retrieval with Importance Weights for Few-Shot Imitation Learning
Grid-free compressive beamforming
MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
Implementing contextual biasing in GPU decoder for online ASR
Solving Electrical Impedance Tomography with Deep Learning
ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image Synthesis
Group Order is in QCMA
Recursive Contour Saliency Blending Network for Accurate Salient Object Detection
Life, uh, Finds a Way: Systematic Neural Search
On Calibration and Out-of-domain Generalization
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
A New Algorithm Based Entropic Threshold for Edge Detection in Images
Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood
Deep Learning based Micro-expression Recognition: A Survey
Energy Conscious Dynamic Window Scheduling of Chip Multiprocessors
NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation
A note on Matching-Cut in P t -free Graphs
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
Model and Integrate Medical Resource Available Times and Relationships in Verifiably Correct Executable Medical Best Practice Guideline Models (Extended Version)
Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing
Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractions
On the complexity of strong Nash equilibrium: Hard-to-solve instances and smoothed complexity
Using Machine Learning to Generate Test Oracles: A Systematic Literature Review
EQuARX: Efficient Quantized AllReduce in XLA for Distributed Machine Learning Acceleration
A Convex Approach to Sparse H infinity Analysis & Synthesis
Bayesian view on the training of invertible residual networks for solving linear inverse problems
Generalised Round Functions for Block Ciphers and their Security
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs
A Multilevel Coordinate Search Algorithm for Well Placement, Control and Joint Optimization
Multiple Instance Learning with random sampling for Whole Slide Image Classification
On the Minimal Revision Problem of Specification Automata
Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models
Non-asymptotic Analysis of Diffusion Annealed Langevin Monte Carlo for Generative Modelling
Mathematical Construction of Interpolation and Extrapolation Function by Taylor Polynomials
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation
A Survey of Digital Watermarking Techniques and its Applications
Regularizing Towards Permutation Invariance in Recurrent Models
Self-organization of vocabularies under different interaction orders
Sources of Uncertainty in Machine Learning - A Statisticians' View
Dialz: A Python Toolkit for Steering Vectors
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction
Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
Trust Region Masking for Long-Horizon LLM Reinforcement Learning
Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps
Harnessing Automation in Data Mining: A Review on the Impact of PyESAPI in Radiation Oncology Data Extraction and Management
CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping
Neural Architecture Search on Efficient Transformers and Beyond
Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data
The existence of stealth corrections in scientific literature - a threat to scientific integrity
Quantification of network structural dissimilarities based on graph embedding
Automatic Expansion and Retargeting of Arabic Offensive Language Training
Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes
Qualitative Properties of alpha-Weighted Scheduling Policies
Mind2Mind : transfer learning for GANs
Data augmentation and feature selection for automatic model recommendation in computational physics
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning
BEV-VAE: Multi-view Image Generation with Spatial Consistency for Autonomous Driving
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in SE(3)
Graph Triangulations and the Compatibility of Unrooted Phylogenetic Trees
A Calculus for Unreachable Code
Recurrent Neural Machine Translation
Maximizing the Egalitarian Welfare in Friends and Enemies Games
Improving Network Availability of Ultra-Reliable and Low-Latency Communications with Multi-Connectivity
Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO
On the complexity of color-avoiding site and bond percolation
Leveraging Superfluous Information in Contrastive Representation Learning
Timed Automata Benchmark Description
Passivity-based Analysis and Design for Population Dynamics with Conformity Biases
On the Quasi-Balanceable Class of Linear Quantum Stochastic Systems
Examining Technology Perspectives of Older Adults with Mild Cognitive Impairment: A Scoping Review
Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying
Notes on L 2 -estimates in linear elliptic equations with general coefficients
A Theory of High-dimensional Sparse Estimation via Non-Convex Regularized Regression
Cool, But What About Oracles? An Oracle-Based Perspective on Blockchain Integration in the Accounting Field
Generating Diverse Realistic Laughter for Interactive Art
Distributed Hybrid Scheduling in Multi-Cloud Networks using Conflict Graphs
The BiPublishers ranking: Main results and methodological problems when constructing rankings of academic publishers
The Benefits of Data Storytelling in Accessible Teaching
Less-forgetting Learning in Deep Neural Networks
Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
Optimal Resource Allocation with Delay Guarantees for Network Slicing in Disaggregated RAN
Friddy multiagent price stabilization model
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar
Structural Controllability of Networked Relative Coupling Systems under Fixed and Switching Topologies
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment
Robust Point Light Source Estimation Using Differentiable Rendering
Delta Sampling R-BERT for limited data and low-light action recognition
Comparison of Frequency-Fusion Mechanisms for Binaural Direction-of-Arrival Estimation for Multiple Speakers
Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouse
4D Visual Pre-training for Robot Learning
Frustratingly Easy Natural Question Answering
ECAKP: Encrypt Collect Authenticate Kill Play
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Hybrid Dialog State Tracker
Fine-Grained Reasoning About Container-Internal Pointers with Logical Pinning
Open Cores for Digital Signal Processing
SandBlaster: Reversing the Apple Sandbox
Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator
Quality vs. Quantity of Data in Contextual Decision-Making: Exact Analysis under Newsvendor Loss
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery
Using Premia and Nsp for Constructing a Risk Management Benchmark for Testing Parallel Architecture
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
An iterative method to compute conformal mappings and their inverses in the context of water waves over topographies
Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?
Morphology-Specific Peptide Discovery via Masked Conditional Generative Modeling
Stability and Extension of Steady and Ranging Persistence
US & MR Image-Fusion Based on Skin Co-Registration
Sharpness-Aware Minimization for Efficiently Improving Generalization
JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Multi-Focused Video Group Activities Hashing
Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension
Efficient Carpooling and Toll Pricing for Autonomous Transportation
Computational Register Analysis and Synthesis
Scaling Expert Language Models with Unsupervised Domain Discovery
NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering
An Equitable Experience? How HCI Research Conceptualizes Accessibility of Virtual Reality in the Context of Disability
Quantum Entanglement Distribution in Next-Generation Wireless Communication Systems
FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions
Natural Gradient Revisited
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Safe Screening for Unbalanced Optimal Transport
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering
Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations
The Surprising Effectiveness of Multimodal Large Language Models for Video Moment Retrieval
Self-Supervised Learning from Web Data for Multimodal Retrieval
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition
A Comparative Study of Machine Learning Methods for Verbal Autopsy Text Classification
Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach
GLRT-Based Metric Learning for Remote Sensing Object Retrieval
SurGen: Text-Guided Diffusion Model for Surgical Video Generation
Nonlinear Incremental Control for Flexible Aircraft Trajectory Tracking and Load Alleviation
Deterministic Bounds in Committee Selection: Enhancing Decentralization and Scalability in Distributed Ledgers
Generating subgraphs in chordal graphs
Aggregated (Bi-)Simulation of Finite Valued Networks
Aligning Text-to-Image Models using Human Feedback
A Continuous Relaxation for Discrete Bayesian Optimization
The Approximate Bilinear Algorithm of Length 46 for Multiplication of 4 x 4 Matrices
Guaranteed confidence-band enclosures for PDE surrogates
Concept Modeling with Superwords
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
Tensor-Tensor Products, Group Representations, and Semidefinite Programming
OnTarget: An Electronic Archery Scoring
Multi-Mode Inverters: A Unified Control Design for Grid-Forming, Grid-Following, and Beyond
End-to-End MAP Training of a Hybrid HMM-DNN Model
The 𝓁-intersection Pairs of Constacyclic and Conjucyclic Codes
Machine Learning Applications of Quantum Computing: A Review
Cogniculture: Towards a Better Human-Machine Co-evolution
Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation
Symmetry Subgroup Defense Against Adversarial Attacks
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm
Hamilton Operators, Discrete Symmetries, Brute Force and SymbolicC++
On Decoding Schemes for the MDPC-McEliece Cryptosystem
Strong Equivalence for LPMLN Programs
Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Development of a data infrastructure for a global data and analysis center in astroparticle physics
Hierarchical Termination Analysis for Generalized Planning
A Roadmap of Emerging Trends Discovery in Hydrology: A Topic Modeling Approach
Node Copying: A Random Graph Model for Effective Graph Sampling
Differentiable Forward Projector for X-ray Computed Tomography
Effect of Densification on Cellular Network Performance with Bounded Pathloss Model
Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning
Human-AI Use Patterns for Decision-Making in Disaster Scenarios: A Systematic Review
Nonstandard finite difference methods preserving general quadratic Lyapunov functions
SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles
Domain-specific ChatBots for Science using Embeddings
A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories
Adaptive Data Augmentation for Thompson Sampling
Predição da Idade Cerebral a partir de Imagens de Ressonância Magnética utilizando Redes Neurais Convolucionais
The Formation of Production Networks: How Supply Chains Arise from Simple Learning with Minimal Information
LAMASSU: Streaming Language-Agnostic Multilingual Speech Recognition and Translation Using Neural Transducers
Comparison of orchard networks using their extended μ-representation
A few properties of the eigenvalues of normalized graph Laplacian
Detection of Increased Time Intervals of Anti-Vaccine Tweets for COVID-19 Vaccine with BERT Model
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology
Axiomatizing GSOS with Predicates
A Scalable Algorithm for Individually Fair K-means Clustering
Comparison of Noisy Channels and Reverse Data-Processing Theorems
The brain-AI convergence: Predictive and generative world models for general-purpose computation
A signal recovery algorithm for sparse matrix based compressed sensing
INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing
Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders
Evaluation of company investment value based on machine learning
Pfaffian Circuits
Measurement error models: from nonparametric methods to deep neural networks
Orthonormal RBF wavelet and ridgelet-like series and transforms for high-dimensional problems
Query Answering for Rough EL Ontologies (Extended Technical Report)
MSG-BART: Multi-granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-grounded Dialogue Generation
Thread review sentimental analysis with tkinter GUI & tableau dashboard
A second-order semi-implicit method for the inertial Landau-Lifshitz-Gilbert equation
Emphasis control for parallel neural TTS
Piecewise Normalizing Flows
Performance of H-Matrix-Vector Multiplication with Floating Point Compression
Connected Theorems: A Graph-Based Approach to Evaluating Mathematical Results
Secure Wireless Communications via Cooperation
Channel Capacity and Bounds In Mixed Gaussian-Impulsive Noise
Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models
Automatic quality evaluation and (semi-) automatic improvement of mixed models for OCR on historical documents
Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping
Adversarial Scheduling Analysis of Game Theoretic Models of Norm Diffusion
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
Multi-Layer Competitive-Cooperative Framework for Performance Enhancement of Differential Evolution
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction
A Survey on Convex Optimization for Guidance and Control of Vehicular Systems
PiClick: Picking the desired mask in click-based interactive segmentation
Architecture of Automated Crypto-Finance Agent
Towards Temporal Knowledge Graph Alignment in the Wild
Cognitive Architecture for Co-Evolutionary Hybrid Intelligence
Revealing Model Biases: Assessing Deep Neural Networks via Recovered Sample Analysis
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs
A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
APRAP: Another Privacy Preserving RFID Authentication Protocol
Self-informed neural network structure learning
Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
Performance versus Complexity Per Iteration for Low-Density Parity-Check Codes: An Information-Theoretic Approach
3D Shape Completion with Test-Time Training
Evolving Losses for Unlabeled Video Representation Learning
Improved IKE Protocol Design Based On PKI/ECC
Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training
Let's Predict Who Will Move to a New Job
An Ordinal Minimax Theorem
How Frequently are Articles in Predatory Open Access Journals Cited
Deep Reinforcement Learning-Based Battery Conditioning Hierarchical V2G Coordination for Multi-Stakeholder Benefits
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios
On sliced Cramér metrics
Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning
UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking
Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis
Strategic Motivators for Ethical AI System Development: An Empirical and Holistic Model
Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption
VidLBEval: Benchmarking and Mitigating Language Bias in Video-Involved LVLMs
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation
DOC: Deep OCclusion Recovering From A Single Image
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
Shape Detection In 2D Ultrasound Images
PMA-Diffusion: A Physics-guided Mask-Aware Diffusion Framework for TSE from Sparse Observations
SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images
PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19
QuantEIT: Ultra-Lightweight Quantum-Assisted Inference for Chest Electrical Impedance Tomography
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning
SDN Controllers: Benchmarking & Performance Evaluation
Feature Mining: A Novel Training Strategy for Convolutional Neural Network
Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"
Intelligent UNIT LEVEL TEST Generator for Enhanced Software Quality
Parallel Pricing Algorithms for Multi--Dimensional Bermudan/American Options using Monte Carlo methods
MAGIC: Near-Optimal Data Attribution for Deep Learning
Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQR
Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution
UnrealNAS: Can We Search Neural Architectures with Unreal Data?
Sparse-grid Discontinuous Galerkin Methods for the Vlasov-Poisson-Lenard-Bernstein Model
Integration of storage endpoints into a Rucio data lake, as an activity to prototype a SKA Regional Centres Network
A Non-Conservative Stability Criterion for Networked Control Systems with time-varying Packet Delays
Quantum function computation using sublogarithmic space (abstract & poster)
Correcting for Popularity Bias in Recommender Systems via Item Loss Equalization
End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks
General Item Representation Learning for Cold-start Content Recommendations
Envy-freeness and Relaxed Stability for Lower-Quotas: A Parameterized Perspective
A C 0 finite element approximation of planar oblique derivative problems in non-divergence form
The equations of the ideal latches
Multi-indices coproducts from ODEs to singular SPDEs
A review of dynamics design methods for high-speed and high-precision CNC machine tool feed systems
Neural Vector Fields for Surface Representation and Inference
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization
Robust Phase Retrieval via ADMM with Outliers
Robot Task Planning and Situation Handling in Open Worlds
Extension of "Model Parameter Adaptive Approach of Extended Object Tracking Using Random Matrix"
A Non-Wellfounded and Labelled Sequent Calculus for Bimodal Provability Logic
Towards Class-Specific Unit
AffWild Net and Aff-Wild Database
On CSI-free Multi-Antenna Schemes for Massive Wireless Energy Transfer
Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms
Orientation and mobility test in virtual reality, a tool for quantitative assessment of functional vision: dataset and evaluation in healthy subjects
The Chemistry Between High School Students and Computer Science
Ensuring Safety in Target Pursuit Control: A CBF-Safe Reinforcement Learning Approach
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation
STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation
The Isomorphism Problem On Classes of Automatic Structures
Spatio-Temporal Techniques for User Identification by means of GPS Mobility Data
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework
Scalable and Efficient Intra- and Inter-node Interconnection Networks for Post-Exascale Supercomputers and Data centers
MEDL-U: Uncertainty-aware 3D Automatic Annotator based on Evidential Deep Learning
Shape-centered Representation Learning for Visible-Infrared Person Re-identification
PREVENT: An Unsupervised Approach to Predict Software Failures in Production
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
Towards a generalized monaural and binaural auditory model for psychoacoustics and speech intelligibility
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
Importance sampling the union of rare events with an application to power systems analysis