yusuke1997/dblp-id-title huggingface dataset:
O 3 Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation
The Feasibility and Inevitability of Stealth Attacks
Feasibility Study of Stochastic Streaming with 4K UHD Video Traces
UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data
Small Turing universal signal machines
Sketch-based Normal Map Generation with Geometric Sampling
A Simple Gap-producing Reduction for the Parameterized Set Cover Problem
A computer algebra system for the study of commutativity up-to-coherent homotopies
The Power of Multiple Choices in Online Stochastic Matching
PooDLe: Pooled and dense self-supervised learning from naturalistic videos
Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images
Online Bipartite Matching via Smoothness
GContextFormer: A global context-aware hybrid multi-head attention approach with scaled additive aggregation for multimodal trajectory prediction
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems
Hybrid Open Points for Increasing Network Capacity in Distribution Systems
fMRI Based Cerebral Instantaneous Parameters for Automatic Alzheimer's, Mild Cognitive Impairment and Healthy Subject Classification
OOD Detection with immature Models
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
When Entanglement meets Classical Communications: Quantum Teleportation for the Quantum Internet (Invited Paper)
Single-shot 3D shape reconstruction using deep convolutional neural networks
The Variable Quality of Metadata About Biological Samples Used in Biomedical Experiments
Quantum Structures in Human Decision-making: Towards Quantum Expected Utility
Bregman Douglas-Rachford Splitting Method
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
Multi-Manifold Learning for Large-scale Targeted Advertising System
Mission Impossible: Feedback-Guided Dynamic Interactive Planning for Improving Reasoning on LLMs
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
A Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model
TRUST: Stability and Safety Controller Synthesis for Unknown Dynamical Models Using a Single Trajectory
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Quadratic Gaussian Splatting for Efficient and Detailed Surface Reconstruction
Malware Classification from Memory Dumps Using Machine Learning, Transformers, and Large Language Models
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models
Wait, Wait, Wait... Why Do Reasoning Models Loop?
What's in a Measurement? Using GPT-3 on SemEval 2021 Task 8 - MeasEval
Carbon Emission Flow Tracing: Fast Algorithm and California Grid Study
CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking
Implementing GraphQL as a Query Language for Deductive Databases in SWI-Prolog Using DCGs, Quasi Quotations, and Dicts
Null Hypothesis Test for Anomaly Detection
Action at a Distance in Networks
SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion
In-Context Exploiter for Extensive-Form Games
Sampling in Software Engineering Research: A Critical Review and Guidelines
TTSS Packet Classification Algorithm to enhance Multimedia Applications in Network Processor based Router
Pedestrian collision avoidance in hemianopia during natural walking in immersive virtual reality
Design of optimal repetitive control based on EID estimator with adaptive periodic event-triggered mechanism for linear systems subjected to exogenous disturbances
Building a Distributed Computing System for LDMX: Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments
Increased-confidence adversarial examples for improved transferability of Counter-Forensic attacks
Training compact deep learning models for video classification using circulant matrices
Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring
Nonlinear State Space Model Identification Using a Regularized Basis Function Expansion
PP-Matting: High-Accuracy Natural Image Matting
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning
STC Anti-spoofing Systems for the ASVspoof 2015 Challenge
Magnetic Schrödinger operators and landscape functions
Analyze, Debug, Optimize: Real-Time Tracing for Perception and Mapping Systems in ROS 2
SedVis: Supporting Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning on Smartphone
Cloud-based user modeling for social robots: a first attempt
Large Scale, Large Margin Classification using Indefinite Similarity Measures
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs
A Survey on Uncertainty Toolkits for Deep Learning
A Survey of Deep Learning Audio Generation Methods
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230, 000 3D facial landmarks)
Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest
A Critical Look at Coulomb Counting Towards Improving the Kalman Filter Based State of Charge Tracking Algorithms in Rechargeable Batteries
3D Aware Region Prompted Vision Language Model
Unifying Robustness and Fidelity: A Comprehensive Study of Pretrained Generative Methods for Speech Enhancement in Adverse Conditions
Prototype-based classifiers in the presence of concept drift: A modelling framework
Gated Integration of Low-Rank Adaptation for Continual Learning of Language Models
A closed equation in time domain for band-limited extensions of one-sided sequences
Approximation Capabilities of Feedforward Neural Networks with GELU Activations
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation
Experimental Phase Estimation Enhanced By Machine Learning
WorldWander: Bridging Egocentric and Exocentric Worlds in Video Generation
One Bug, Hundreds Behind: LLMs for Large-Scale Bug Discovery
A parameterized block-splitting preconditioner for indefinite least squares problem
SID: Stereo Image Dataset for Autonomous Driving in Adverse Conditions
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning
Privacy preserving distributed profile matching in mobile social network
Reward-Based Environment States for Robot Manipulation Policy Learning
Finding a Winning Strategy for Wordle is NP-complete
Logical Reasoning for Task Oriented Dialogue Systems
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis
Adaptive Regulation of Sampling Rates for Power Efficient Embedded Control system Design
Capacity Enhancement of Cooperative NOMA over Rician Fading Channels with Orbital Angular Momentum
From cold resistor to secure key exchanger
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning
Maximal Fairness
Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials
A Framework to build Games with a Purpose for Linked Data Refinement
Two-Level Priority Coding for Resilience to Arbitrary Blockage Patterns
Principal Component Networks: Parameter Reduction Early in Training
Agent-Specific Effects
Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
On the Rate of Gaussian Approximation for Linear Regression Problems
Multi-Source Music Generation with Latent Diffusion
Game-theoretic Investigation of Intensional Equalities
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Dynamic modeling and predictive control of a microfluidic system
FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
Towards A COLREGs Compliant Autonomous Surface Vessel in a Constrained Channel
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification
Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Flipping Matchings is Hard
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion
Multidimensional precipitation index prediction based on CNN-LSTM hybrid framework
Learning to Synthesize
Lazy Queries Can Reduce Variance in Zeroth-order Optimization
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities
Semantic Anything in 3D Gaussians
Contaminant Removal for Android Malware Detection Systems
A New Generative Statistical Model for Graphs: The Latent Order Logistic (LOLOG) Model
Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
Leveraging Bus Mobility to Enable Communications in Urban Areas
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention
DreamFoley: Scalable VLMs for High-Fidelity Video-to-Audio Generation
Symbolic and Language Agnostic Large Language Models
Instanced model simplification using combined geometric and appearance-related metric
Multitasking Scheduling with Shared Processing
MGS: Markov Greedy Sums for Accurate Low-Bitwidth Floating-Point Accumulation
MobileFlow: A Multimodal LLM For Mobile GUI Agent
Layer-stacked Attention for Heterogeneous Network Embedding
Excel as a Turing-complete Functional Programming Environment
Congestion Control with Explicit Rate Indication
CARLS: Cross-platform Asynchronous Representation Learning System
Frequency Dynamics with Grid Forming Inverters: A New Stability Paradigm
Measuring the Performance and Network Utilization of Popular Video Conferencing Applications
Video Captioning and Retrieval Models with Semantic Attention
Hebbian Synaptic Modifications in Spiking Neurons that Learn
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression
Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation
Reference Microphone Selection for Guided Source Separation based on the Normalized L-p Norm
Representations in vision and language converge in a shared, multidimensional space of perceived similarities
IMP Science Gateway: from the Portal to the Hub of Virtual Experimental Labs in Materials Science
Distributional AGI Safety
Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks
Adversarial Robustness for Visual Grounding of Multimodal Large Language Models
Unmasking DeepFakes with simple Features
Optimal Path Encoding for Software-Defined Networks
Problems, proofs, and disproofs on the inversion number
Preliminary Explorations with GPT-4o(mni) Native Image Generation
An Efficient Method for Quantifying the Aggregate Flexibility of Plug-in Electric Vehicle Populations
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
Evaluating singular and near-singular integrals on C 2 smooth surfaces with a novel geometric method and closed form expressions
si4onnx: A Python package for Selective Inference in Deep Learning Models
Wasserstein Adversarial Imitation Learning
IP-Augmented Multi-Modal Malicious URL Detection Via Token-Contrastive Representation Enhancement and Multi-Granularity Fusion
Survey on Publicly Available Sinhala Natural Language Processing Tools and Research
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks
Bayesian Error Based Sequences of Mutual Information Bounds
Parametrized Stochastic Multi-armed Bandits with Binary Rewards
Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary
An Exact, Finite Dimensional Representation for Full-Block, Circle Criterion Multipliers
Principles of Security: Human, Cyber, and Biological
Prompt Injection attack against LLM-integrated Applications
Using Graph Neural Networks to model the performance of Deep Neural Networks
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology
Portable Targeted Sampling Framework Using LLVM
Improving the scalability of parallel N-body applications with an event driven constraint based execution model
Inferring High Quality Co-Travel Networks
Starting CLuP with polytope relaxation
A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting
Fully Implicit Spectral Boundary Integral Computation of Red Blood Cell Flow
Learning Versatile Optimizers on a Compute Diet
FlowCycle: Pursuing Cycle-Consistent Flows for Text-based Editing
A LP-rounding based algorithm for soft capacitated facility location problem with submodular penalties
Consistent Update Synthesis via Privatized Beliefs
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
Extractive Multi-document Summarization Using Multilayer Networks
An Agent-Based Model of COVID-19 Diffusion to Plan and Evaluate Intervention Policies
MoViE: Mobile Diffusion for Video Editing
Nexus-Gen: A Unified Model for Image Understanding, Generation, and Editing
High Resolution Semantic Change Detection
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
A vector quantized masked autoencoder for speech emotion recognition
Generating Multi-Sentence Lingual Descriptions of Indoor Scenes
Combining Feature and Prototype Pruning by Uncertainty Minimization
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs
Experimental Validation of a 3GPP Compliant 5G-Based Positioning System
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval
Improved algorithms for online load balancing
Audio-Visual Target Speaker Extraction with Reverse Selective Auditory Attention
Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty
Design of an Automated Intrusion Detection System incorporating an Alarm
Parameter-Efficient and Personalized Federated Training of Generative Models at the Edge
Scale Invariance of Graph Neural Networks
Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration
Cascading Failure Prediction via Causal Inference
Responsible Generative AI: What to Generate and What Not
Constacyclic Codes over Finite Fields
Pre-Training a Graph Recurrent Network for Language Representation
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography
Finding Robust Itemsets Under Subsampling
Analysing complexity of XML Schemas in geospatial web services
Symmetry-Aware Bayesian Optimization via Max Kernels
Deep Learning Prediction of Beam Coherence Time for Near-FieldTeraHertz Networks
Read-once polynomials: How many summands suffice?
Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
On Computation Complexity of True Proof Number Search
EA: An Event Autoencoder for High-Speed Vision Sensing
Ontology-Based Anomaly Detection for Air Traffic Control Systems
Introduction of accelerated BOIN design and facilitation of its application
Relative hulls and quantum codes
FoMo Rewards: Can we cast foundation models as reward functions?
Quantitative Analysis of Active Cyber Defenses Based on Temporal Platform Diversity
Research on Mask Wearing Detection of Natural Population Based on Improved YOLOv4
Driver distraction detection and recognition using RGB-D sensor
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions
Performance Benchmarking of State-of-the-Art Software Switches for NFV
Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
Structuring and presenting data for testing of automotive electronics to reduce effort during decision making
Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach
Applying Process Mining on Scientific Workflows: a Case Study
Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications
A Preliminary Study on the Learning Informativeness of Data Subsets
PVContext: Hybrid Context Model for Point Cloud Compression
Detecting Core-Periphery Structures by Surprise
Scalable Domain-decomposed Monte Carlo Neutral Transport for Nuclear Fusion
Business models for the simulation hypothesis
Analog, In-memory Compute Architectures for Artificial Intelligence
Maximum Rank and Asymptotic Rank of Finite Dynamical Systems
Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text Classification
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification
AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning
Sitting on a gold mine: the story of the process industry's automatic formation of a digital twin
EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation
Synchronization in Anonymous Networks Under Continuous Dynamics
Leveraging Label Variation in Large Language Models for Zero-Shot Text Classification
Resilient Packet Forwarding: A Reinforcement Learning Approach to Routing in Gaussian Interconnected Networks with Clustered Faults
Quantum Reverse Shannon Theorem
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph
Prompting the Market? A Large-Scale Meta-Analysis of GenAI in Finance NLP (2022-2025)
UV-Net: Learning from Curve-Networks and Solids
Generative AI and the future of scientometrics: current topics and future questions
Modeling the distribution of the arrival angle based on transmitter antenna pattern
Spike-timing-dependent Hebbian learning as noisy gradient descent
Convex Optimization of Bearing Formation Control of Rigid bodies on Lie Group
The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?
Learning Contracting Vector Fields For Stable Imitation Learning
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
Equivariant neural networks for inverse problems
Automatic Discrimination of Color Retinal Images using the Bag of Words Approach
RECA-PD: A Robust Explainable Cross-Attention Method for Speech-based Parkinson's Disease Classification
Quantum Annealing for Computer Vision Minimization Problems
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
MakeItTalk: Speaker-Aware Talking Head Animation
A Contrario Paradigm for YOLO-based Infrared Small Target Detection
A systematic review of research on large language models for computer programming education
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
Analysis of a high-resolution hand-written digits data set with writer characteristics
A review on Epileptic Seizure Detection using Machine Learning
Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks
New mechanism for repeated posted price auction with a strategic buyer without discounting
Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Investigation of the piston effect in supercritical fluids via a reversible-irreversible vector field splitting-based explicit time integration scheme
Security analysis of epsilon-almost dual universal2 hash functions
Clarifying the Role of Distance in Friendships on Twitter: Discovery of a Double Power-Law Relationship
Reinforcement Learning for Flexibility Design Problems
Travel Time Based Task Mapping for NoC-Based DNN Accelerator
Double criterion-based estimator for signal number estimation for the colored noise with unknown covariance matrix
Towards Stable Preferences for Stakeholder-aligned Machine Learning
Planar Visibility: Testing and Counting
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Image Outpainting and Harmonization using Generative Adversarial Networks
Unsupervised Text Style Transfer with Deep Generative Models
"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration
Subgame-perfect Equilibria in Mean-payoff Games
Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students Training Data
Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
PEAR: Phrase-Based Hand-Object Interaction Anticipation
Analysis of SVN Repositories for Remote Access
Security and Privacy Challenges in Deep Learning Models
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
A posteriori error estimates of mixed discontinuous Galerkin method for the Stokes eigenvalue problem
Extracting Optimal Explanations for Ensemble Trees via Logical Reasoning
A quantum algorithm for simulating non-sparse Hamiltonians
Fast Fair Regression via Efficient Approximations of Mutual Information
Introducing Support for Move Operations in Melda CRDT
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning
Language-Agnostic Website Embedding and Classification
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
PyMilo: A Python Library for ML I/O
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
Fall Detection from Audios with Audio Transformers
Learning to Identify Perceptual Bugs in 3D Video Games
A family of explicit Waring decompositions of a polynomial
Why Gradient Subspace? Identifying and Mitigating LoRA's Bottlenecks in Federated Fine-Tuning of Large Language Models
Source separation with weakly labelled data: An approach to computational auditory scene analysis
Neural Inhibition Improves Dynamic Routing and Mixture of Experts
A general approach to enhance slope limiters on non-uniform grids
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Unsupervised Hypernym Detection by Distributional Inclusion Vector Embedding
Phutball Endgames are Hard
On rho in a Decision-Theoretic Apparatus of Dempster-Shafer Theory
Automatic diagnosis of retinal diseases from color retinal images
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Learning Similarity for Character Recognition and 3D Object Recognition
Close the Loop: Synthesizing Infinite Tool-Use Data via Multi-Agent Role-Playing
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
Model-Free Deep Reinforcement Learning in Software-Defined Networks
An Integrated e-science Analysis Base for Computation Neuroscience Experiments and Analysis