yusuke1997/dblp-id-title huggingface dataset:
Hadamard Row-Wise Generation Algorithm
The Paper Pile at Home: Adopting Personal Electronic Records
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
Visual Conceptual Blending with Large-scale Language and Vision Models
Embedding-Based Rankings of Educational Resources based on Learning Outcome Alignment: Benchmarking, Expert Validation, and Learner Performance
On Interference Alignment with Imperfect CSI: Characterizations of Outage Probability, Ergodic Rate and SER
UIPro: Unleashing Superior Interaction Capability For GUI Agents
The neural dynamics of auditory word recognition and integration
A QFT approach to robust dual-rate control systems
Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation
State Complexity of Catenation Combined with Star and Reversal
Hyperloop System Optimization
What About Applied Fairness?
Automatic Cross-Domain Transfer Learning for Linear Regression
Towards More Robust Natural Language Understanding
Escaping the Verifier: Learning to Reason via Demonstrations
The complexity of the Chinese Remainder Theorem
Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition
The Wallpaper is Ugly: Indoor Localization using Vision and Language
Mitigating barren plateaus of variational quantum eigensolvers
On Ideal Secret-Sharing Schemes for k-homogeneous access structures
Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems
Conceptors: an easy introduction
Guided evolutionary strategies: escaping the curse of dimensionality in random search
Real-Time Minimization of Average Error in the Presence of Uncertainty and Convexification of Feasible Sets
E(3) × SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
Approximating the Percolation Centrality through Sampling and Pseudo-dimension
Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network
An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation
On the Performance and Optimization for MEC Networks Using Uplink NOMA
Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations
Response to "The digital pound: a new form of money for households and businesses"
Identifying the fragment structure of the organic compounds by deeply learning the original NMR data
A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem
Set Membership based Nonlinear Model Predictive Control
Towards Amortized Ranking-Critical Training for Collaborative Filtering
Concept Whitening for Interpretable Image Recognition
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness
Accelerating DEM simulations on GPUs by reducing the impact of warp divergences
vLibOS: Babysitting OS Evolution with a Virtualized Library OS
Virtual replicas of real places: Experimental investigations
BandwidthBreach: Unleashing Covert and Side Channels through Cache Bandwidth Exploitation
sam-llm: interpretable lane change trajectoryprediction via parametric finetuning
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
Detecting periodic time scales in temporal networks
Minimum Distortion Variance Concatenated Block Codes for Embedded Source Transmission
Non-Gaussian Scale Space Filtering with 2 by 2 Matrix of Linear Filters
Hypothesis testing of symmetry in quantum dynamics
ELM: Embedding and Logit Margins for Long-Tail Learning
Dynamic Risk Assessment for Human-Robot Collaboration Using a Heuristics-based Approach
Event-based Video Frame Interpolation with Edge Guided Motion Refinement
SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation
ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing
Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures
What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects)
GPTR: Gaussian Process Trajectory Representation for Continuous-Time Motion Estimation
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning
RoCE BALBOA: Service-enhanced Data Center RDMA for SmartNICs
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations
Non Binary Polar Codes with Equidistant Transform for Transmission over the AWGN Channel
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
Shaking the foundations: delusions in sequence models for interaction and control
Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields
Generalized Topic Modeling
Error Probability Analysis of Peaky Signaling over Fading Channels
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
Active Visual SLAM with independently rotating camera
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
StructPrune: Structured Global Pruning asymptotics with 𝒪(√N) GPU Memory
Findings of the IWSLT 2024 Evaluation Campaign
Automated ultrasound doppler angle estimation using deep learning
PEDANTIC: A Dataset for the Automatic Examination of Definiteness in Patent Claims
Table-to-Text Generation with Pretrained Diffusion Models
Local Dense Logit Relations for Enhanced Knowledge Distillation
See-Saw Generative Mechanism for Scalable Recursive Code Generation with Generative AI
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging
Autonomous Droplet Microfluidic Design Framework with Large Language Models
Anticipating Activity in Social Media Spikes
ImageBind: One Embedding Space To Bind Them All
Bayesian Networks, Markov Networks, Moralisation, Triangulation: a Categorical Perspective
DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance
Universal versus system-specific features of punctuation usage patterns in~major Western~languages
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies
HSFN: Hierarchical Selection for Fake News Detection building Heterogeneous Ensemble
Robust virtual element methods for 3D stress-assisted diffusion problems
Foundation Priors
Storage of Natural Language Sentences in a Hopfield Network
AppCopilot: Toward General, Accurate, Long-Horizon, and Efficient Mobile Agent
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space
HL-DPoS: An Enhanced Anti-Long-Range Attack DPoS Algorithm
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
Adaptive In-conversation Team Building for Language Model Agents
Online prediction of ovarian cancer
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?
Cost-minimising strategies for data labelling : optimal stopping and active learning
Spatial-Spectral Boosting Analysis for Stroke Patients' Motor Imagery EEG in Rehabilitation Training
Hype-Adjusted Probability Measure for NLP Volatility Forecasting
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine
DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models
On abstract homogeneous interval-valued functions
Robustness, Canalyzing Functions and Systems Design
Towards Neural Theorem Proving at Scale
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
Computational Assessment of Biomass Dust Explosions in the 20L Sphere
Score-based constrained generative modeling via Langevin diffusions with boundary conditions
Pushing the Limits: Concurrency Detection in Acyclic, Live, and 1-Safe Free-Choice Nets in O((P+T) 2 )
Bioinformatics and Medicine in the Era of Deep Learning
Benchmarking LLMs in Web API Integration Tasks
Learning Sequence Descriptor based on Spatiotemporal Attention for Visual Place Recognition
Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning
Sketching semidefinite programs for faster clustering
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials
Data Center Cost Optimization Via Workload Modulation Under Real-World Electricity Pricing
Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN
Crowdsourcing: Low complexity, Minimax Optimal Algorithms
Lang-n-Send: Processes That Send Languages
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
Toward quantum-safe scalable networks: an open, standards-aware key management framework
Apple Intelligence Foundation Language Models: Tech Report 2025
A lunar reconnaissance drone for cooperative exploration and high-resolution mapping of extreme locations
Long Short-Term Memory based Convolutional Recurrent Neural Networks for Large Vocabulary Speech Recognition
A proposal for regularly updated review/survey articles: "Perpetual Reviews"
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images
On the Morse-Hedlund complexity gap
HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings
Scene-aware Generative Network for Human Motion Synthesis
PriorWeaver: Prior Elicitation via Iterative Dataset Construction
What Kinds of Tokens Benefit from Distant Text? An Analysis on Long Context Language Modeling
Towards 1ULP evaluation of Daubechies Wavelets
On Event Causality Detection in Tweets
Colouring polygon visibility graphs and their generalizations
Information Rates of Channels with Additive White Cauchy Noise
A novel approach for security issues in VoIP networks in Virtualization with IVR
Modelling Linear Logic Without Units (Preliminary Results)
Open Ad Hoc Teamwork using Graph-based Policy Learning
A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progression
Open Questions in the Theory of Semifeasible Computation
ANN-aided incremental multiscale-remodelling-based finite strain poroelasticity
Appraisal of Social Learning Potentials in Some Trending Mobile Computing Applications
Information Revolution
Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation
Semantic foundations of equality saturation
Toward a New Approach for Modeling Dependability of Data Warehouse System
Stable generative modeling using diffusion maps
Making Physical Objects with Generative AI and Robotic Assembly: Considering Fabrication Constraints, Sustainability, Time, Functionality, and Accessibility
Sim2Real Diffusion: Learning Cross-Domain Adaptive Representations for Transferable Autonomous Driving
A Lightweight Approach for State Machine Replication
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Graph-guided Personalization for Federated Recommendation
CerviFormer: A Pap-smear based cervical cancer classification method using cross attention and latent transformer
Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring
Conceptual Modeling for Computer Organization and Architecture
An Integral Equation Formulation of the N-body Dielectric Spheres Problem. Part II: Complexity Analysis
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models
CUR Low Rank Approximation of a Matrix at Sub-linear Cost
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
The Steganographic Potentials of Language Models
When Work Matters: Transforming Classical Network Structures to Graph CNN
A Comprehensive Study of Reconfigurable Intelligent Surfaces in Generalized Fading
Individual and Collective Welfare in Risk Sharing with Many States
Flow-Induced Diagonal Gaussian Processes
Binary input reconstruction for linear systems: a performance analysis
Link Prediction in evolving networks based on the popularity of nodes
How do you revise your belief set with %$;@*?
WINDOW: Wideband Demodulator for Optical Waveforms
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation
Slimy hairs: Hair sensors made with slime mould
An Approach for Detection of Entities in Dynamic Media Contents
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach
Algebra of L-banded Matrices
On the Performance Trade-off of Distributed Integrated Sensing and Communication Networks
A framework for power line inspection tasks with multi-robot systems from signal temporal logic specifications
Rate-Distortion Function for a Heegard-Berger Problem with Two Sources and Degraded Reconstruction sets
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection
Packaged Quantum States for Gauge-Invariant Quantum Computation and Communication
A Comparison of Neural Network Training Methods for Text Classification
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients
Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
Quality of Life Assessment of Diabetic patients from health-related blogs
Making AI Inevitable: Historical Perspective and the Problems of Predicting Long-Term Technological Change
Towards Balanced Behavior Cloning from Imbalanced Datasets
DeepVerse: 4D Autoregressive Video Generation as a World Model
Truthful approximations to range voting
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks
Local and Global Uniform Convexity Conditions
Gotta catch 'em all! Towards File Localisation from Issues at Large
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation
Information-Preserving Contrastive Learning for Self-Supervised Representations
Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs
Optimal Sensor Placement for Intruder Detection
On Coding for Reliable Communication over Packet Networks
Mental Health Diagnosis in the Digital Age: Harnessing Sentiment Analysis on Social Media Platforms upon Ultra-Sparse Feature Content
Energy Efficiency Support for Software Defined Networks: a Serverless Computing Approach
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
A Case Study for Grain Quality Assurance Tracking based on a Blockchain Business Network
Training Region-based Object Detectors with Online Hard Example Mining
VecHGrad for solving accurately complex tensor decomposition
Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation
Trading Agents for Roaming Users
TrafficNet: An Open Naturalistic Driving Scenario Library
NEORL: NeuroEvolution Optimization with Reinforcement Learning
Design, Integration, and Evaluation of a Dual-Arm Robotic System for High Throughput Tissue Sampling from Potato Tubers
Spanners in randomly weighted graphs: independent edge lengths
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
Asymptotic Analysis of ADMM for Compressed Sensing
A Note on Property Testing of the Binary Rank
How to Compute Times of Random Walks based Distributed Algorithms
What went wrong?: Identification of Everyday Object Manipulation Anomalies
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images
How does the brain compute with probabilities?
UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning
3D Operation of Autonomous Excavator based on Reinforcement Learning through Independent Reward for Individual Joints
Enabling Trusted App Development @ The Edge
Dirty Paper Coding for Fading Channels with Partial Transmitter Side Information
Overcoming Pedestrian Blockage in mm-Wave Bands using Ground Reflections
FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics
Measurement of human activity using velocity GPS data obtained from mobile phones
Performance Analysis of NR Sidelink and Wi-Fi Coexistence Networks in Unlicensed Spectrum
Adaptive Fine-Tuning via Pattern Specialization for Deep Time Series Forecasting
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models
Evaluating Machine Learning-based Skin Cancer Diagnosis
Migration patterns under different scenarios of sea level rise
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
Learning to map source code to software vulnerability using code-as-a-graph
Advances in Big Data Bio Analytics
The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
Computing with Polynomial Ordinary Differential Equations
On Psychology of AI - Does Primacy Effect Affect ChatGPT and Other LLMs?
Deep Learning based Image Watermarking: A Brief Survey
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms
RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulaiton
Primal-dual optimization methods for large-scale and distributed data analytics
Deep Manifold Traversal: Changing Labels with Convolutional Features
MGHyper: Checking Satisfiability of HyperLTL Formulas Beyond the ∃ * ∀ * Fragment
Ranking and Unranking k-subsequence universal words
Reduced-Order Solution for Rarefied Gas Flow by Proper Generalised Decomposition
Optimal mobile association on hybrid networks: centralized and decentralized case
The LATIN-PGD methodology to nonlinear dynamics and quasi-brittle materials for future earthquake engineering applications
A steady state model for graph power laws
FieldSeer I: Physics-Guided World Models for Long-Horizon Electromagnetic Dynamics under Partial Observability
Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets
Federated LoRA with Sparse Communication
MathPSfrag 2: Convenient LaTeX Labels in Mathematica
Interactive Learning for LLM Reasoning
Mirror descent of Hopfield model
On Deep Ensemble Learning from a Function Approximation Perspective
Intrinsic Annealing in a Hybrid Memristor-Magnetic Tunnel Junction Ising Machine
Automatic travel pattern extraction from visa page stamps using CNN models
The Affinity Effects of Parallelized Libraries in Concurrent Environments
Safe and Quasi-Optimal Autonomous Navigation in Environments with Convex Obstacles
Spectral Efficiency of OFDMA Cognitive Radios under Imperfect Cross-Link Knowledge
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
Temporal Logic Planning via Zero-Shot Policy Composition
Geometric Meta-Learning via Coupled Ricci Flow: Unifying Knowledge Representation and Quantum Entanglement
Data Analysis on Speeding Behavior: The Impact of Auditory Warnings and Demographic Factors
3D Cal: An Open-Source Software Library for Calibrating Tactile Sensors
BETA: Automated Black-box Exploration for Timing Attacks in Processors
Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models
Training Language Models to Win Debates with Self-Play Improves Judge Accuracy
Perturbation Analysis of Randomized SVD and its Applications to High-dimensional Statistics
Analysis of Obstacle based Probabilistic RoadMap Method using Geometric Probability
Pose Trainer: Correcting Exercise Posture using Pose Estimation
Cardiac Electrophysiology Meshfree Modeling through the Mixed Collocation Method
High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR
Learning Ambiguity from Crowd Sequential Annotations
From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
The Dog Walking Theory: Rethinking Convergence in Federated Learning
On Optimal Input Design for Feed-forward Control
Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
Numerically Representing A Stochastic Process Algebra
Unit Incomparability Dimension and Clique Cover Width in Graphs
Ambiguity is the last thing you need
SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
Cost Effective Optimization for Cost-related Hyperparameters
Persistent homology of directed spaces
Robot Task Planning for Low Entropy Belief States
Phase retrieval with Bregman divergences and application to audio signal recovery
When multiplicative noise stymies control
Digital Shadows of Safety for Human Robot Collaboration in the World-Wide Lab
A Machine Learning Approach to Digital Contact Tracing: TC4TL Challenge
Crime Prediction using Machine Learning with a Novel Crime Dataset
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks
A novel Neural-ODE model for the state of health estimation of lithium-ion battery using charging curve
Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs
Reliable Reporting for Massive M2M Communications with Periodic Resource Pooling
Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network
Leveraging AI to Generate Audio for User-generated Content in Video Games
On discrete Sobolev inequalities for nonconforming finite elements under a semi-regular mesh condition
Flocks, Games, and Cognition: A Geometric Approach
Toward an automaton Constraint for Local Search
On the non-efficient PAC learnability of acyclic conjunctive queries
Routing optimization on power packet dispatching system based on energy loss minimization
A Hierarchical Variational Graph Fused Lasso for Recovering Relative Rates in Spatial Compositional Data
RoboSVG: A Unified Framework for Interactive SVG Generation with Multi-modal Guidance
Regularized Non-monotone Submodular Maximization
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
Factorization method with one plane wave: from model-driven and data-driven perspectives
Agentic Meta-Orchestrator for Multi-task Copilots
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning
Random ε-Cover on Compact Symmetric Space