yusuke1997/dblp-id-title huggingface dataset:
HyGain: High Performance, Energy-Efficient Hybrid Gain Cell based Cache Hierarchy
Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
A Resourceful Reframing of Behavior Trees
Breaking barriers for people with voice disabilities: Combining virtual keyboards with speech synthesizers, and VoIP applications
Arranging Test Tubes in Racks Using Combined Task and Motion Planning
Describe Anything Model for Visual Question Answering on Text-rich Images
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI
DropPruning for Model Compression
Achieving Maximum Utilization in Optimal Time for Learning or Convergence in the Kolkata Paise Restaurant Problem
Augmented reality as a Thirdspace: Simultaneous experience of the physical and virtual
Distributed learning optimisation of Cox models can leak patient data: Risks and solutions
Autonomous Rollator: A Case Study in the Agebots Project
Towards a Scalable Hierarchical High-order CFD Solver
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis
Comparison of Brain Networks with Unknown Correspondences
A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem
Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
Ultrasound Diagnosis of COVID-19: Robustness and Explainability
Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks
Computing a Discrete Logarithm in O(n^3)
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
SecDiff: Diffusion-Aided Secure Deep Joint Source-Channel Coding Against Adversarial Attacks
Counting Unique-Sink Orientations
Inferring Short-Sightedness in Dynamic Noncooperative Games
Do You Feel Comfortable? Detecting Hidden Conversational Escalation in AI Chatbots
Towards the full information chain theory: question difficulty
Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
Utilizing Whisper to Enhance Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation
BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion
Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks
Deep Multi-Species Embedding
Extension of Wirtinger Calculus in RKH Spaces and the Complex Kernel LMS
On the Design of Universal LDPC Codes
Biologically-inspired neuronal adaptation improves learning in neural networks
Fast Supervised Discrete Hashing and its Analysis
Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Fully Dynamic k -Median with Near-Optimal Update Time and Recourse
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics
Zero resource speech synthesis using transcripts derived from perceptual acoustic units
Correlating sparse sensing for network-wide traffic speed estimation: An integrated graph tensor-based kriging approach
Control of a Quadrotor with Reinforcement Learning
Scalable Deep Learning for RNA Secondary Structure Prediction
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods
Entropy Semiring Forward-backward Algorithm for HMM Entropy Computation
Discovering Interpretable Concepts in Large Generative Music Models
Damage detection in an uncertain nonlinear beam based on stochastic Volterra series: an experimental application
Position-aware Guided Point Cloud Completion with CLIP Model
Rethinking Infrared Small Target Detection: A Foundation-Driven Efficient Paradigm
Inferring Attitude in Online Social Networks Based On Quadratic Correlation
Reading yesterday's news. Layout recognition by segmentation of historical newspaper pages
On Zero Divisors with Small Support in Group Rings of Torsion-Free Groups
Information contraction in noisy binary neural networks and its implications
Modeling and Predicting Fake News Spreading on Twitter
Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent
On Uncensored Mean First-Passage-Time Performance Experiments with Multiwalk in R p : a New Stochastic Optimization Algorithm
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis
Detection of statistically significant differences between process variants through declarative rules
Locating and Editing Factual Associations in Mamba
T-PickSeer: Visual Analysis of Taxi Pick-up Point Selection Behavior
H2R-Grounder: A Paired-Data-Free Paradigm for Translating Human Interaction Videos into Physically Grounded Robot Videos
Piecewise Linear Patch Reconstruction for Segmentation and Description of Non-smooth Image Structures
Global Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games
Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum
Supervised learning improves disease outbreak detection
How Crucial is it for 6G Networks to be Autonomous?
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report
Fundamental Limits of Simultaneous Energy and Information Transmission
Frame Difference-Based Temporal Loss for Video Stylization
Selection Bias-Corrected Visualization via Dynamic Reweighting
Planning and Synthesis Under Assumptions
Lifeguard : SWIM-ing with Situational Awareness
Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
Exact and Heuristic Methods for the Assembly Line Worker Assignment and Balancing Problem
DeepFleet: Multi-Agent Foundation Models for Mobile Robots
A multigrid method for CutFEM and its implementation on GPU
The Impact of AI Adoption on Retail Across Countries and Industries
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access
On the Degrees of Freedom of Full-Duplex Cellular Networks
Survey of Imbalanced Data Methodologies
Cooperative Data Collection with Multiple UAVs for Information Freshness in the Internet of Things
Data-Effective Learning: A Comprehensive Medical Benchmark
Impacts of the Space Technology Evolution in the V\&V of Embedded Software-Intensive Systems
Classifying Fonts and Calligraphy Styles Using Complex Wavelet Transform
Information tracking approach to segmentation of ultrasound imagery of prostate
A statistics inference problem in an urn and ball model with heavy tailed distributions
Leveraging Knowledge Graphs and LLMs for Context-Aware Messaging
Physics-informed neural networks with hard constraints for inverse design
Optimization Based Planner Tracker Design for Safety Guarantees
Adaptive Mobile Manipulation for Articulated Objects In the Open World
Molecular Fingerprints Are Strong Models for Peptide Function Prediction
Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Chinese Medical Question Answer Matching Based on Interactive Sentence Representation Learning
Another Look at the Implementation of Read/write Registers in Crash-prone Asynchronous Message-Passing Systems (Extended Version)
Joint Rate and Resource Allocation in Hybrid Digital-Analog Transmission over Fading Channels
Increasing the clock speed of a thermodynamic computer by adding noise
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels
Data Efficiency and Transfer Robustness in Biomedical Image Segmentation: A Study of Redundancy and Forgetting with Cellpose
Adversarial Training with Stochastic Weight Average
AutoHood3D: A Multi-Modal Benchmark for Automotive Hood Design and Fluid-Structure Interaction
Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads
Data-driven operator learning for energy-efficient building control
SourcererCC: Scaling Code Clone Detection to Big Code
Regions of Attraction for Hybrid Limit Cycles of Walking Robots
Reopening of the conjecture about the decidability of Quasi-Dense Modal Logics (Comments on Lyon & Ostropolski-Nalewaja's result)
Hint assisted reinforcement learning: an application in radio astronomy
Extending JSON CRDT with Move Operations
A Fusion Model for Artwork Identification Based on Convolutional Neural Networks and Transformers
On the Concept of Variable Roles and its Use in Software Analysis
Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data
Variable-length compression allowing errors (extended)
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification
Fully Dynamic k-Center in Low Dimensions via Approximate Furthest Neighbors
Bin Packing with Linear Usage Costs
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices
The TAG array of a multiple sequence alignment
Contemporary Software Monitoring: A Systematic Literature Review
Determination of Metamaterial Parameters by Means of a Homogenization Approach Based on Asymptotic Analysis
Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
SyncSpeech: Low-Latency and Efficient Dual-Stream Text-to-Speech based on Temporal Masked Transformer
An End-to-End System for Culturally-Attuned Driving Feedback using a Dual-Component NLG Engine
SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks
Developing a Free and Open-source Automated Building Exterior Crack Inspection Software for Construction and Facility Managers
Survey of Personalization Techniques for Federated Learning
Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance
Simulation Study of World Wide Web traffic over the ATM ABR Service
Light types for polynomial time computation in lambda-calculus
On the Computational Complexity of Satisfiability Solving for String Theories
A Consistently Oriented Basis for Eigenanalysis: Improved Directional Statistics
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations
GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques
Efficient numeracy in language models through single-token number embeddings
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures
Learning to Evaluate Performance of Multi-modal Semantic Localization
Counterfactual Forecasting of Human Behavior using Generative AI and Causal Graphs
Decomposing, Comparing, and Synthesizing Access Control Expressiveness Simulations (Extended Version)
Solving Functional PDEs with Gaussian Processes and Applications to Functional Renormalization Group Equations
Improving the Classification Effect of Clinical Images of Diseases for Multi-Source Privacy Protection
NarraBench: A Comprehensive Framework for Narrative Benchmarking
Fast Adaptation of Manipulator Trajectories to Task Perturbation By Differentiating through the Optimal Solution
Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy
Partially smoothed information measures
Owen Sampling Accelerates Contribution Estimation in Federated Learning
Semantic Grouping Network for Audio Source Separation
Security Issues of Low Power Wide Area Networks in the Context of LoRa Networks
Energy stable schemes for gradient flows based on novel auxiliary variable with energy bounded above
An approach to interfacing the brain with quantum computers: practical steps and caveats
Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
The ESO Survey of Non-Publishing Programmes
NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew
CAMU: Context Augmentation for Meme Understanding
Non-Sequential Ensemble Kalman Filtering using Distributed Arrays
Robust Clearing Price Mechanisms for Reserve Price Optimization
Towards Perceived Security, Perceived Privacy, and the Universal Design of E-Payment Applications
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
Structured Perfect Bayesian Equilibrium in Infinite Horizon Dynamic Games with Asymmetric Information
Detection and Discovery of Misinformation Sources using Attributed Webgraphs
Learning to play: A Multimodal Agent for 3D Game-Play
Families of costs with zero and nonnegative MTW tensor in optimal transport
Solving the Encoding Bottleneck: Of the HHL Algorithm, By the HHL Algorithm
Adversarial Scheduling in Evolutionary Game Dynamics
A cross-corpus study on speech emotion recognition
Geometry of Interest (GOI): Spatio-Temporal Destination Extraction and Partitioning in GPS Trajectory Data
A theoretical foundation for building Knowledge-work Support Systems
Poset-based Triangle: An Improved Alternative for Bilattice-based Triangle
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization
Diversity-Multiplexing Tradeoff for the Interference Channel with a Relay
LM4Opt-RA: A Multi-Candidate LLM Framework with Structured Ranking for Automating Network Resource Allocation
AdvBlur: Adversarial Blur for Robust Diabetic Retinopathy Classification and Cross-Domain Generalization
A Self-Supervised Transformer for Unusable Shared Bike Detection
A simple theory for training response of deep neural networks
Optimization of Array Encoding for Ultrasound Imaging
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
A sound interpretation of Leśniewski's epsilon in modal logic KTB
Robust spectral compressive sensing via vanilla gradient descent
QuantifyML: How Good is my Machine Learning Model?
Total Variation Minimization Based Compressive Wideband Spectrum Sensing for Cognitive Radios
Who is the director of this movie? Automatic style recognition based on shot features
Spin Wave Electromagnetic Nano-Antenna Enabled by Tripartite Phonon-Magnon-Photon Coupling
Cryptanalysis and Improvements on Some Graph-based Authentication Schemes
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts
SQUiD: Synthesizing Relational Databases from Unstructured Text
Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer
Sequential symmetric interior penalty discontinuous Galerkin method for fully coupled quasi-static thermo-poroelasticity problems
Hierarchical Deep Learning Architecture For 10K Objects Classification
RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US
Duty-Cycling is Not Enough in Constrained IoT Networking: Revealing the Energy Savings of Dynamic Clock Scaling
LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics
Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
IPF-HMGNN: A novel integrative prediction framework for metro passenger flow
Adapting to Function Difficulty and Growth Conditions in Private Optimization
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale
Quality Evaluation of Conceptual Level Object Multidimensional Data Model
STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese
Multi-Platform Generative Development of Component & Connector Systems using Model and Code Libraries
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
On Succinctness and Recognisability of Alternating Good-for-Games Automata
Multiplicative modulations in hue-selective cells enhance unique hue representation
Leaf diseases detection using deep learning methods
WinNet: time series forecasting with a window-enhanced period extracting and interacting
A semi-automatic method for document classification in the shipping industry
The CONVERGE project - A systems network for ITS
Analysis Dictionary Learning based Classification: Structure for Robustness
Femto-Containers: DevOps on Microcontrollers with Lightweight Virtualization & Isolation for IoT Software Modules
On the stability test for reproducing kernel Hilbert spaces
Degrees of Freedom Rate Region of the $K$-user Interference Channel with Blind CSIT Using Staggered Antenna Switching
DAD++: Improved Data-free Test Time Adversarial Defense
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Renarration for All
Optimal Transmission Line Switching under Geomagnetic Disturbances
How phonemes contribute to deep speaker models?
PhyAAt: Physiology of Auditory Attention to Speech Dataset
Application of Blockchain Smart Contracts in E-Commerce and Government
Fault Recovery and Transient Stability of Grid-Forming Converters Equipped with Current Saturation
Benchmarking Machine Learning Models for Fault Classification and Localization in Power System Protection
High-order Methods for a Pressure Poisson Equation Reformulation of the Navier-Stokes Equations with Electric Boundary Conditions
Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals
Hardness Results for Minimizing the Covariance of Randomly Signed Sum of Vectors
Medical Dead-ends and Learning to Identify High-risk States and Treatments
LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration - A Robot Sous-Chef Application
Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
Latent Tree Variational Autoencoder for Joint Representation Learning and Multidimensional Clustering
Design and optimization of a novel leaf-shape antenna for RF energy transfer
Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown
Pilotage des processus collaboratifs dans les systèmes PLM. Quels indicateurs pour quelle évaluation des performances ?
Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
Aether: Geometric-Aware Unified World Modeling
Multi-task Prediction of Patient Workload
Efficient Reassembling of Three-Regular Planar Graphs
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
A Cross-Layer Approach for Video Delivery over Wireless Video Sensor Networks
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map
Causal Posterior Matching and its Applications
Fairness for Whom? Critically reframing fairness with Nash Welfare Product
Estimation-Aware Trajectory Optimization with Set-Valued Measurement Uncertainties
Perceiving Mass in Mixed Reality through Pseudo-Haptic Rendering of Newton's Third Law
Sensorless Real-Time Reduced Order Model Based Adaptive Maximum Power Tracking Pitch Controller for Grid Connected Wind Turbines
Contact-Implicit MPC: Controlling Diverse Quadruped Motions Without Pre-Planned Contact Modes or Trajectories
DND: Boosting Large Language Models with Dynamic Nested Depth
The Complexity of Possible Winners on Partial Chains
Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan
Time-R1: Towards Comprehensive Temporal Reasoning in LLMs
VIRDOC: Statistical and Machine Learning by a VIRtual DOCtor to Predict Dengue Fatality
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Towards Audio to Scene Image Synthesis using Generative Adversarial Network
SensPS: Sensing Personal Space Comfortable Distance between Human-Human Using Multimodal Sensors
Three Lenses on the AI Revolution: Risk, Transformation, Continuity
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
Analysis of Hashrate-Based Double Spending
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind
When Newton meets Descartes: A Simple and Fast Algorithm to Isolate the Real Roots of a Polynomial
AI/ML Algorithms and Applications in VLSI Design and Technology
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
A Note on Functional Averages over Gaussian Ensembles
CAMeleon: Interactively Exploring Craft Workflows in CAD
Estimating Confidence of Predictions of Individual Classifiers and Their Ensembles for the Genre Classification Task
Supporting Finite Element Analysis with a Relational Database Backend, Part I: There is Life beyond Files
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
On formalizing fairness in prediction with machine learning
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas
Accelerating Online Reinforcement Learning via Supervisory Safety Systems
Sampling and Reconstruction of Spatial Fields using Mobile Sensors
Agentic Troubleshooting Guide Automation for Incident Management
Embedded model discrepancy: A case study of Zika modeling
Monolithic two-level Schwarz preconditioner for Biot's consolidation model in two space dimensions
Updater-Extractor Architecture for Inductive World State Representations
Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach
Clustering and Classification in Text Collections Using Graph Modularity
Speaker Contrastive Learning for Source Speaker Tracing
The Effect of Recency to Human Mobility
Enhancing AI-Driven Psychological Consultation: Layered Prompts with Large Language Models
Smooth minimization of nonsmooth functions with parallel coordinate descent methods
A combined full-reference image quality assessment method based on convolutional activation maps
An interpretable deep learning method for bearing fault diagnosis
Numerical Solution of Nonlinear Abel Integral Equations: An $ hp $-Version Collocation Approach
Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action Recognition
Gamifying the Escape from the Engineering Method Prison - An Innovative Board Game to Teach the Essence Theory to Future Project Managers and Software Engineers
KGPA: Robustness Evaluation for Large Language Models via Cross-Domain Knowledge Graphs
Deconfounding Time Series Forecasting
Recursive Construction of Stable Assemblies of Recurrent Neural Networks