yusuke1997/dblp-id-title huggingface dataset:
DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation
Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression
Visual Attention on the Sun: What Do Existing Models Actually Predict?
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning
Quality of Service Support on High Level Petri-Net Based Model for Dynamic Configuration of Web Service Composition
Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization
A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation
Finding the Cores of Higher Graphs Using Geometric and Topological Means: A Survey
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium
ProtoDash: Fast Interpretable Prototype Selection
Frequency Disentangled Residual Network
Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy
CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment
Slope and generalization properties of neural networks
Incentive Mechanism Design for Emergency Frequency Control in Multi-Infeed Hybrid AC-DC System
CUDA-LLM: LLMs Can Write Efficient CUDA Kernels
How Reasoning Influences Intersectional Biases in Vision Language Models
Skip That Beat: Augmenting Meter Tracking Models for Underrepresented Time Signatures
A Global Cybersecurity Standardization Framework for Healthcare Informatics
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning
Simple Image-level Classification Improves Open-vocabulary Object Detection
Operational Interpretation of the Sandwiched Rényi Divergences of Order 1/2 to 1 as Strong Converse Exponents
Evaluation of IoT-Based Computational Intelligence Tools for DNA Sequence Analysis in Bioinformatics
HJRNO: Hamilton-Jacobi Reachability with Neural Operators
3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification
LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths
Pros and Cons of GAN Evaluation Measures
Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization
Regulating Ride-Sourcing Markets: Can Minimum Wage Regulation Protect Drivers Without Disrupting the Market?
Delving Deep into Semantic Relation Distillation
Non-Termination in Term Rewriting and Logic Programming
Efficient hyperbolic-parabolic models on multi-dimensional unbounded domains using an extended DG approach
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Showcasing Automated Vehicle Prototypes: A Collaborative Release Process to Manage and Communicate Risk
Visual Physics: Discovering Physical Laws from Videos
Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Linear Approximate Pattern Matching Algorithm
Generalizing Monocular 3D Object Detection
Automatic Image Annotation via Label Transfer in the Semantic Space
Object-oriented lexical encoding of multiword expressions: Short and sweet
Can Quantum Entanglement Detection Schemes Improve Search?
MID: A Self-supervised Multimodal Iterative Denoising Framework
Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management Via Model Predictive Mixed Integer Control
Inversion of Linear and Nonlinear Observable Systems with Series-defined Output Trajectories
Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction
Real-Time ESFP: Estimating, Smoothing, Filtering, and Pose-Mapping
3DGS 2 : Near Second-order Converging 3D Gaussian Splatting
Exploration of lane-changing duration for heavy vehicles and passenger cars: a survival analysis approach
Mitigating Imperfections in Mixed-Signal Neuromorphic Circuits
Ablation of a Robot's Brain: Neural Networks Under a Knife
Amortized Bayesian inference for clustering models
Learning hidden cascades via classification
HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models
Towards Domain-Specific Characterization of Misinformation
Investigating and Defending Shortcut Learning in Personalized Diffusion Models
An Analysis of Human-centered Geolocation
LOAF-M2L: Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation
SIENA: Stochastic Multi-Expert Neural Patcher
Edge corona product as an approach to modeling complex simplical networks
A new operational matrix based on Boubaker polynomials for solving fractional Emden-Fowler problem
RIOT-based smart metering system for privacy-preserving data aggregation using watermarking and encryption
Second-order accurate TVD numerical methods for nonlocal nonlinear conservation laws
Evaluation of Sketch-Based and Semantic-Based Modalities for Mockup Generation
ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise
Lifting the Winding Number: Precise Representation of Complex Cuts in Subspace Physics Simulations
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard
Automatic Spoken Language Identification using a Time-Delay Neural Network
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
In-Network Freshness Control: Trading Throughput for Freshness
2-distance 4-coloring of planar subcubic graphs with girth at least 21
Evolutionary Spiking Neural Networks: A Survey
Approximately Universal Codes over Slow Fading Channels
Learning to Sort Image Sequences via Accumulated Temporal Differences
Inferentialist Resource Semantics
Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media
Impacting the bioscience progress by backporting software for Bio-Linux
A random matrix analysis and improvement of semi-supervised learning for large dimensional data
Deep Elastic Networks with Model Selection for Multi-Task Learning
Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta
Inferring transportation modes from GPS trajectories using a convolutional neural network
Assessing the Alignment of Popular CNNs to the Brain for Valence Appraisal
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines
Efficient and Stable Multi-Dimensional Kolmogorov-Smirnov Distance
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection
Reconstruction of Sparse and Nonsparse Signals from a Reduced Set of Samples
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition
Universal Hysteresis Identification Using Extended Preisach Neural Network
Model-agnostic interpretation by visualization of feature perturbations
SPAD: Seven-Source Token Probability Attribution with Syntactic Aggregation for Detecting Hallucinations in RAG
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach
All Stories Are One Story: Emotional Arc Guided Procedural Game Level Generation
MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation
Entropic Quantum Central Limit Theorem and Quantum Inverse Sumset Theorem
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown
Improvement of Batch Normalization in Imbalanced Data
Pattern Recognition and Event Detection on IoT Data-streams
ExplorerTree: a focus+context exploration approach for 2D embeddings
SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification
Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
Cognition is All You Need - The Next Layer of AI Above Large Language Models
A Riemannian Framework for the Elastic Analysis of the Spatiotemporal Variability in the Shape and Structure of Tree-like 4D Objects
A Framework For Identifying Group Behavior Of Wild Animals
Constructive proofs for some semilinear PDEs on H 2 (e |x| 2 /4 ,ℝ d )
Determinacy and Decidability of Reachability Games with Partial Observation on Both Sides
Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications
Proximity Verification Based on Acoustic Room Impulse Response
Generalized Benders Decomposition with Continual Learning for Hybrid Model Predictive Control in Dynamic Environment
Data Extraction from Charts via Single Deep Neural Network
Improving Fungi Prototype Representations for Few-Shot Classification
OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
Learning to run a power network with trust
Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning
MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation
Sparsity-based Algorithm for Detecting Faults in Rotating Machines
Fully automatic structure from motion with a spline-based environment representation
REACT: Recognize Every Action Everywhere All At Once
End-to-End Neural Audio Coding for Real-Time Communications
Quantifier Scope in Categorical Compositional Distributional Semantics
EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale
Recommender System Based on Algorithm of Bicluster Analysis RecBi
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
Getting Critical: Making Sense of the EU Cybersecurity Framework for Cloud Providers
Efficient Adaptation For Remote Sensing Visual Grounding
Diffusion-model approach to flavor models: A case study for S 4 ' modular flavor model
Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls
Goal-oriented anisotropic hp-adaptive discontinuous Galerkin method for the Euler equations
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach
Unified Interactive Image Matting
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Unified Expression of Achievable Region in Privacy-Constrained Source Coding
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders
Zelda: Video Analytics using Vision-Language Models
Quantifying Multipolar Polarization
Survey on Awareness of Privacy Issues in Ubiquitous Environment
Quantum logic dequantization: efficiency loss
Hyper-parameter tuning for text guided image editing
Liver Cancer Knowledge Graph Construction based on dynamic entity replacement and masking strategies RoBERTa-BiLSTM-CRF model
Deadlock-Free Session Types in Linear Haskell
Towards Informed Partitioning for Load Balancing: a Proof-of-Concept
Minimum-violation LTL Planning with Conflicting Specifications
A Dynamic Data Driven Approach for Explainable Scene Understanding
Learning sparse mixtures of rankings from noisy information
Adaptive Motorized LiDAR Scanning Control for Robust Localization with OpenStreetMap
Characterising User Content on a Multi-lingual Social Network
Discrete Elasticity Exact Sequences on Worsey-Farin splits
Model-free control of non-minimum phase systems and switched systems
Double Helix Diffusion for Cross-Domain Anomaly Image Generation
Morphology Generation for Statistical Machine Translation
Scaling behavior of large language models in emotional safety classification across sizes and tasks
A comprehensive review of classifier probability calibration metrics
International Governance of Civilian AI: A Jurisdictional Certification Approach
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics
Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising
Data-free Dense Depth Distillation
CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback
Information Aware Type Systems and Telescopic Constraint Trees
Multi-Operator Few-Shot Learning for Generalization Across PDE Families
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
Integrating Upstream Supply Chains into Generation Expansion Planning
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Coding
Streaming Semidefinite Programs: O(√n) Passes, Small Space and Fast Runtime
Position-wise optimizer: A nature-inspired optimization algorithm
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
Language Modeling With Factorization Memory
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction
Exceptional designs in some extended quadratic residue codes
Best-response Algorithms for Integer Convex Quadratic Simultaneous Games
DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models
Super-Resolution from Short-Time Fourier Transform Measurements
Numerical reconstruction of Schrödinger equations with quadratic nonlinearities
Improvement of the square-root low bounds on the minimum distances of BCH codes and Matrix-product codes
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Creating Aesthetic Sonifications on the Web with SIREN
Evaluating the Impact of a Load Admittance Approximation in Transient Stability-Constrained Optimal Power Flow
Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement
Asian Stamps Identification and Classification System
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Can large language models be privacy preserving and fair medical coders?
Optimization by linear kinetic equations and mean-field Langevin dynamics
Applications of deep learning in traffic congestion alleviation: A survey
Learning Set-equivariant Functions with SWARM Mappings
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
Electronic Laboratory Notebook Assisting Reflectance Spectrometry in Legal Medicine
Modeling Language Vagueness in Privacy Policies using Deep Neural Networks
Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data
Two-pass Light Field Image Compression for Spatial Quality and Angular Consistency
Necessity as justified truth
A Semi-Decentralized Tikhonov-based Algorithm for Optimal Generalized Nash Equilibrium Selection
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer
Scaling Experiments in Self-Supervised Cross-Table Representation Learning
Optimal order of uniform convergence for finite element method on Bakhvalov-type meshes
Large-Scale Human Activity Mapping using Geo-Tagged Videos
Next-Generation Information Technology Systems for Fast Detectors in Electron Microscop
ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation
Eye on the Target: Eye Tracking Meets Rodent Tracking
SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels
Differentially private testing for relevant dependencies in high dimensions
From Graph Low-Rank Global Attention to 2-FWL Approximation
Backtracking Gradient Descent allowing unbounded learning rates
SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding
Black-box Integration of Heterogeneous Modeling Languages for Cyber-Physical Systems
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning
An Innovative Design of Substitution Box Using Trigonometric Transformation
Achievements, Experiences, and Lessons Learned from the European Research Infrastructure ERIGrid related to the Validation of Power and Energy Systems
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models
Security assessment of common open source MQTT brokers and clients
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset
Causal Effect Estimation using Variational Information Bottleneck
A Performance Analysis for UMTS Packet Switched Network Based on Multivariate KPIS
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services
A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models
Using a Machine Learning Approach to Implement and Evaluate Product Line Features
Teaching Broad Reasoning Skills via Decomposition-Guided Contexts
SigTime: Learning and Visually Explaining Time Series Signatures
Two-Stage Analog Combining in Hybrid Beamforming Systems with Low-Resolution ADCs
Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems
Approximate Gram-Matrix Interpolation for Wideband Massive MU-MIMO
Dissortative From the Outside, Assortative From the Inside: Social Structure and Behavior in the Industrial Trade Network
Masterful: A Training Platform for Computer Vision Models
Upwards Closed Dependencies in Team Semantics
Lip Localization and Viseme Classification for Visual Speech Recognition
Domain-Agnostic Molecular Generation with Self-feedback
Are Markov Models Effective for Storage Reliability Modelling?
Pricing Asian Options for Jump Diffusions
Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks
A Polynomial Chaos Framework for Designing Linear Parameter Varying Control Systems
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
Hamiltonian Path in Split Graphs- a Dichotomy
Improved Voltage Regulation with Optimal Design of Decentralized Volt-VAr Control
DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
Presentation Attack detection using Wavelet Transform and Deep Residual Neural Net
SynLLM: A Comparative Analysis of Large Language Models for Medical Tabular Synthetic Data Generation via Prompt Engineering
Discovering the Elite Hypervolume by Leveraging Interspecies Correlation
Basic Formal Properties of A Relational Model of The Mathematical Theory of Evidence
I.T. Project Success: Practical Frameworks based on key Project Control Variables
Markov Chain Concentration with an Application in Reinforcement Learning
Self-Verifying Reflection Helps Transformers with CoT Reasoning
Federated Distillation: A Survey
Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees
FUIA: Model Inversion Attack against Federated Unlearning
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference
Higher Gauge Flow Models
Approximate #Knapsack Computations to Count Semi-Fair Allocations
A class of few-Lee weight Z 2 [u]-linear codes using simplicial complexes and minimal codes via Gray map
Cloud-Aided State Estimation of A Full-Car Semi-Active Suspension System
L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification
Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses
A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal Representation
KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
Circular-Symmetric Correlation Layer based on FFT
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms
Object Tracking by Detection with Visual and Motion Cues
Automatic Analysis of Television News: Media, People, Framing and Bias
Multi-Bit Relaying over a Tandem of Channels
On the Complexity of Minimum Labeling Alignment of Two Genomes
Learning-based Model Predictive Control for Passenger-Oriented Train Rescheduling with Flexible Train Composition
Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement
Machine learning in APOGEE: Unsupervised spectral classification with K-means
Regularized Deep Linear Discriminant Analysis
Towards Interpretable and Efficient Feature Selection in Trajectory Datasets: A Taxonomic Approach
LMV-RPA: Large Model Voting-based Robotic Process Automation
Linear Quadratic Control with Risk Constraints
TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting
Block-regularized 5×2 Cross-validated McNemar's Test for Comparing Two Classification Algorithms
DWTCP: Ultra Low Latency Congestion Control Protocol for Data Centers
Dynamic Mixture-of-Experts for Incremental Graph Learning
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey
Enhancing Sequential Recommendation with World Knowledge from Large Language Models
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
SalM 2 : An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models
Quantifying patterns of punctuation in modern Chinese prose
MViT: Mask Vision Transformer for Facial Expression Recognition in the wild
Multi-modal Generative Models in Recommendation System
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases
Coordinated Fast Frequency Response from Electric Vehicles, Data Centers, and Battery Energy Storage Systems
Minimum Degree-Weighted Distance Decoding for Polynomial Residue Codes with Non-Pairwise Coprime Moduli
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
Shareable Driving Style Learning and Analysis with a Hierarchical Latent Model
Global approximations to the error function of real argument for vectorized computation
Lower bounds on the Deterministic and Quantum Communication Complexity of Hamming Distance
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
A Formalization of Co-Transcriptional Splicing as an Operation on Formal Languages
ICPS: Real-Time Resource Configuration for Cloud Serverless Functions Considering Affinity
Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on GPUs for Real-time Edge Computing