yusuke1997/dblp-id-title huggingface dataset:
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance
Minimally actuated tiltrotor for perching and normal force exertion
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
Observer-based Differentiators for Noisy Signals
Joint Semantic Knowledge Distillation and Masked Acoustic Modeling for Full-band Speech Restoration with Improved Intelligibility
Unsupervised Sentence Representations as Word Information Series: Revisiting TF-IDF
Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning
Machine Translation Using Semantic Web Technologies: A Survey
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias
A study of latent monotonic attention variants
LaForge: Always-Correct and Fast Incremental Builds from Simple Specifications
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies
A Dominant Interferer plus Mean Field-based Approximation for SINR Meta Distribution in Wireless Networks
On developing piecewise rational mapping with fine regulation capability for WENO schemes
NLIP: Noise-robust Language-Image Pre-training
Learning Monocular Depth from Events via Egomotion Compensation
A level-set formulation to simulate diffusive solid/solid phase transformation in polycrystalline metallic materials - Application to austenite decomposition in steels
Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integration
A Refined Probabilistic Error Bound for Sums
Equivalent Effect Function and Fast Intrinsic Mode Decomposition
Parameterised Complexity of Consistent Query Answering via Graph Representations
Solving clustering as ill-posed problem: experiments with K-Means algorithm
Scaling Auditory Cognition via Test-Time Compute in Audio Language Models
Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow
A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations
ConvSearch: A Open-Domain Conversational Search Behavior Dataset
Design and Analysis of Downlink Channel Estimation Based on Parametric Model for Massive MIMO in FDD Systems
Night-time Semantic Segmentation with a Large Real Dataset
Weakly-Supervised Multimodal Learning on MIMIC-CXR
A Survey on Data Security in Large Language Models
Improving COVID-19 Forecasting using eXogenous Variables
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception
Weight recursions for any rotation symmetric Boolean functions
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation
Human-in-the-loop Online Rejection Sampling for Robotic Manipulation
Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications
PaxosLease: Diskless Paxos for Leases
Digital Doppelgangers: Ethical and Societal Implications of Pre-Mortem AI Clones
A Model of Job Parallelism for Latency Reduction in Large-Scale Systems
At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
Neural Crossbreed: Neural Based Image Metamorphosis
Schubert Subspace Codes
FOCUS : A framework for energy system optimization from prosumer to district and city scale
Multi-Modal Dialogue State Tracking for Playing GuessWhich Game
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance
Beyond Correctness: Exposing LLM-generated Logical Flaws in Reasoning via Multi-step Automated Theorem Proving
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
Abstract Canonical Inference
VALA: Learning Latent Anchors for Training-Free and Temporally Consistent
Quantifying information stored in synaptic connections rather than in firing patterns of neural networks
Accelerated non-linear denoising filters
CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction
On multidimensional generalization of binary search
The Arduino as a Hardware Random-Number Generator
Theme-aware generation model for chinese lyrics
Maximum-Size Envy-free Matchings
Resistance Maintained in Digital Organisms despite Guanine/Cytosine-Based Fitness Cost and Extended De-Selection: Implications to Microbial Antibiotics Resistance
Améliorer les performances de l'industrie logicielle par une meilleure compréhension des besoins
The minimax property in infinite two-person win-lose games
Minimax Optimal Fair Classification with Bounded Demographic Disparity
Sequential Recurrence-Based Multidimensional Universal Source Coding of Lempel-Ziv Type
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering
Memory-augmented Transformers can implement Linear First-Order Optimization Methods
Don't Look at the Camera: Achieving Perceived Eye Contact
Root Distribution in Padé Approximants and its Effect on Holomorphic Embedding Method Convergence
Compute-Accuracy Pareto Frontiers for Open-Source Reasoning Large Language Models
Topology Optimization of Leg Structures for Construction Robots Based on Variable Density Method
Many-one reducibility with realizability
FaFeSort: A Fast and Few-shot End-to-end Neural Network for Multi-channel Spike Sorting
SaRO: Enhancing LLM Safety through Reasoning-based Alignment
Risk-Limiting Bayesian Polling Audits for Two Candidate Elections
AI at work - Mitigating safety and discriminatory risk with technical standards
CoBEVMoE: Heterogeneity-aware Feature Fusion with Dynamic Mixture-of-Experts for Collaborative Perception
Video Capsule Endoscopy and Ingestible Electronics: Emerging Trends in Sensors, Circuits, Materials, Telemetry, Optics, and Rapid Reading Software
Dynamic read & write optimization with TurtleKV
SPAR: Self-supervised Placement-Aware Representation Learning for Multi-Node IoT Systems
Aspect-specific Context Modeling for Aspect-based Sentiment Analysis
Making the Peers' Subjective Well-being Visible Impairs Cooperator-centered Experimental Social Networks
Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features
Iterative Quantization Using Codes On Graphs
National Power as Network Flow
Normalized Convolutional Neural Network
GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling
OpenStack and Google Cloud performance comparison in Infrastructure as a Service model
DSSD : Deconvolutional Single Shot Detector
Congestion Control and Traffic Management in ATM Networks: Recent Advances and A Survey
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
Evaluating Robotic Approach Techniques for the Insertion of a Straight Instrument into a Vitreoretinal Surgery Trocar
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models
Getting Beyond the State of the Art of Information Retrieval with Quantum Theory
A Survey on Active Feature Acquisition Strategies
Query Suggestion for Click-Absent Queries in Enterprise Search
Frequency Plan Design for Multibeam Satellite Constellations Using Linear Programming
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
WTF-PAD: Toward an Efficient Website Fingerprinting Defense for Tor
RealTalk: Realistic Emotion-Aware Lifelike Talking-Head Synthesis
A User-Centric Benchmark for Evaluating Large Language Models
Malware Detection on General-Purpose Computers Using Power Consumption Monitoring: A Proof of Concept and Case Study
An Empirical Study of Sampling Hyperparameters in Diffusion-Based Super-Resolution
An Energy-efficient Clock Synchronization Protocol for Wireless Sensor Networks
Constrained Policy Optimization via Sampling-Based Weight-Space Projection
A Comparative Analysis of the Face Recognition Methods in Video Surveillance Scenarios
MINSU (Mobile Inventory And Scanning Unit): Computer Vision and AI
ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
High-performance stock index trading: making effective use of a deep LSTM neural network
Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models
Every Language Model Has a Forgery-Resistant Signature
Finite strain homogenization using a reduced basis and efficient sampling
MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning
BikeDNA: A Tool for Bicycle Infrastructure Data &amp; Network Assessment
Deep learning-based super-resolution fluorescence microscopy on small datasets
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
Graph Signal Recovery Using Restricted Boltzmann Machines
The Lanczos Algorithm Under Few Iterations: Concentration and Location of the Ritz Values
Comparison of Classification Algorithms Used Medical Documents Categorization
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization
The Bridge between Xsens Motion-Capture and Robot Operating System (ROS): Enabling Robots with Online 3D Human Motion Tracking
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors
Divide and Conquer based Symbolic Vulnerability Detection
A note on clique-width and tree-width for structures
A Probabilistic Translation Method for Dictionary-based Cross-lingual Information Retrieval in Agglutinative Languages
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images
Effects of Compensation, Connectivity and Tau in a Computational Model of Alzheimer's Disease
A Greedy and Optimistic Approach to Clustering with a Specified Uncertainty of Covariates
Density functions for QuickQuant and QuickVal
General superconvergence for kernel-based approximation
A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation
Data-Driven Robot Fault Detection and Diagnosis Using Generative Models: A Modified SFDD Algorithm
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
Efficient and Accurate Gaussian Image Filtering Using Running Sums
A multiscale spatiotemporal approach for smallholder irrigation detection
FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit
Autonomous Circular Drift Control for 4WD-4WS Vehicles Without Precomputed Drifting Equilibrium
Symmetrically processed splitting integrators for enhanced Hamiltonian Monte Carlo sampling
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
Bridging the Gap in Drug Safety Data Analysis: Large Language Models for SQL Query Generation
Learning-Time Encoding Shapes Unlearning in LLMs
Flying Insect Classification with Inexpensive Sensors
Rotation of Sequences: Algorithms and Proofs
Monitor-Generate-Verify (MGV): Formalising Metacognitive Theory for Language Model Reasoning
Designing constraint-based False Data Injection attacks for unbalanced distribution smart grids
Elixir: A system to enhance data quality for multiple analytics on a video stream
A Search Procedure for Cyclic Subsets
Reed-Muller codes have vanishing bit-error probability below capacity: a simple tighter proof via camellia boosting
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings
Direct Synthesis of Iterative Algorithms with Bounds on Achievable Worst-Case Convergence Rate
Natural Language Robot Programming: NLP integrated with autonomous robotic grasping
Intel Page Modification Logging, a hardware virtualization feature: study and improvement for virtual machine working set estimation
Spatial-temporal Vehicle Re-identification
Explainable Object-induced Action Decision for Autonomous Vehicles
Cost-optimized replacement strategies for water electrolysis systems affected by degradation
Optimal Lower Bound for Itemset Frequency Indicator Sketches
Blind System Identification in Linear Parameter-Varying Models
Coded Iterative Computing using Substitute Decoding
The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
On-board classification of underwater images using hybrid classical-quantum CNN based method
Zeros of Gaussian Weyl-Heisenberg functions and hyperuniformity of charge
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
SFHand: A Streaming Framework for Language-guided 3D Hand Forecasting and Embodied Manipulation
Rationalization for Explainable NLP: A Survey
Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra
Asymptotic-preserving finite element analysis of Westervelt-type wave equations
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
Invariant Price of Anarchy: a Metric for Welfarist Traffic Control
Compositional Hardness of Code in Large Language Models - A Probabilistic Perspective
Emergence of functional information from multivariate correlations
State Estimation for Compliant and Morphologically Adaptive Robots
Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning
Using Spatio-Temporal Dual-Stream Network with Self-Supervised Learning for Lung Tumor Classification on Radial Probe Endobronchial Ultrasound Video
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm
Deriving Distributive Laws for Graded Linear Types
Fast Grant Learning-Based Approach for Machine Type Communications with NOMA
Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
Machine Learning Classifications of Coronary Artery Disease
Stabilizing switched nonlinear systems under restricted but arbitrary switching signals
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
Trust Aware Privacy Preserving Routing Protocol for Wireless Adhoc Network
A recommender network perspective on the informational value of critics and crowds
An Anonymous Social Network of Opinions
The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary
Achieving Greater Concurrency in Execution of Smart Contracts using Object Semantics
Fluid Antenna-Assisted Dirty Multiple Access Channels over Composite Fading
From Prompting to Alignment: A Generative Framework for Query Recommendation
Perfectly predicting ICU length of stay: too good to be true
The trade-offs of model size in large recommendation models : A 10000 × compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)
Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach
f -PO: Generalizing Preference Optimization with f -divergence Minimization
Rational approximations of operator monotone and operator convex functions
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning
Large Deviations, Sharron-McMillan-Breiman Theorem for Super-Critical Telecommunication Networks
Practical Adversarial Combinatorial Bandit Algorithm via Compression of Decision Sets
On the Universality of Sequential Slotted Amplify and Forward Strategy in Cooperative Communications
Virtualization of Multi-Cell 802.11 Networks: Association and Airtime Control
Chatbots in a Botnet World
Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
When Qualitative Research Meets Large Language Model: Exploring the Potential of QualiGPT as a Tool for Qualitative Coding
An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks
Tableau-based decision procedures for logics of strategic ability in multi-agent systems
Autoregressive Flow Matching for Motion Prediction
A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels
Boosting Trees for Anti-Spam Email Filtering
On the minimum number of arcs in k-dicritical oriented graphs
ERNet: Efficient Non-Rigid Registration Network for Point Sequences
OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA
Blockchain-Enabled Dynamic Spectrum Sharing for Satellite and Terrestrial Communication Networks
Uniswap Daily Transaction Indices by Network
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid Domains by Leveraging Knowledge Compilation
Mathematical Modeling and Error Estimation for the Thermal Dunking Problem: A Hierarchical Approach
Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism
Multi-Head ReLU Implicit Neural Representation Networks
ISAC Empowered Air-Sea Collaborative System: A UAV-USV Joint Inspection Framework
Explaining a black-box using Deep Variational Information Bottleneck Approach
Evaluation of Complex-Valued Neural Networks on Real-Valued Classification Tasks
A pragmatic account of the weak evidence effect
Entanglement verification protocols for distributed systems based on the Quantum Recursive Network Architecture
Extending partial representations of function graphs and permutation graphs
Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI
How to deal with glare for improved perception of Autonomous Vehicles
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
Unsupervised Discovery of Continuous Skills on a Sphere
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
Slowly Scaling Per-Record Differential Privacy
Landmark-based Distributed Topological Mapping and Navigation in GPS-denied Urban Environments Using Teams of Low-cost Robots
Challenges and Paths Towards AI for Software Engineering
Managing Controlled Unclassified Information in Research Institutions
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
Simulators for Quantum Network Modelling: A Comprehensive Review
Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition
Turning Speech Into Scripts
Continuous Learning and Inference of Individual Probability of SARS-CoV-2 Infection Based on Interaction Data
Random Fourier Feature Based Deep Learning for Wireless Communications
ReLU 2 Wins: Discovering Efficient Activation Functions for Sparse LLMs
Statistical physics-based reconstruction in compressed sensing
A Computational Analysis of Collective Discourse
Shape related constraints aware generation of Mechanical Designs through Deep Convolutional GAN
Pure Exploration under Mediators' Feedback
Natural images from the birthplace of the human eye
Post-Quantum κ-to-1 Trapdoor Claw-free Functions from Extrapolated Dihedral Cosets
A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion
Coded Compressed Sensing with List Recoverable Codes for the Unsourced Random Access
Safe Human-Interactive Control via Shielding
Prompt-Driven LLM Safeguarding via Directed Representation Optimization
Frequency Response Data-Driven Disturbance Observer Design for Flexible Joint Robots
VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction
Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations
A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision
Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language Models
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
End-to-end speech enhancement based on discrete cosine transform
Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom
Improving LLM Leaderboards with Psychometrical Methodology
Empirical Measurement of Aesthetic Experience of Music
Novel Modelling Strategies for High-frequency Stock Trading Data
Infrared-Assisted Single-Stage Framework for Joint Restoration and Fusion of Visible and Infrared Images under Hazy Conditions
Multicasting of correlated multisource to multisink over a network
ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow
Multi-Robot Pursuit in Parameterized Formation via Imitation Learning
Supplementary Materials for "How to Avoid Reidentification with Proper Anonymization"
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Tuning Free Orthogonal Matching Pursuit
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
The 4+1 Model of Data Science
Text To 3D Object Generation For Scalable Room Assembly
Optimal Multi-Dimensional Mechanism Design: Reducing Revenue to Welfare Maximization
MIHRaGe: A Mixed-Reality Interface for Human-Robot Interaction via Gaze-Oriented Control
A linear algorithm for Brick Wang tiling
On zero-free regions for the anti-ferromagnetic Potts model on bounded-degree graphs
Histogram Estimation under User-level Privacy with Heterogeneous Data
Modeling Multimodal Dynamic Spatiotemporal Graphs
The Complexity of Maximum Matroid-Greedoid Intersection and Weighted Greedoid Maximization
A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study
A Survey of Recent Developments in Collision Avoidance, Collision Warning and Inter-Vehicle Communication Systems
Lower Bounds on the Critical Density in the Hard Disk Model via Optimized Metrics
Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
Compressing networks with super nodes
Globally reasoning about localised security policies in distributed systems
Optimal Bilinear Equalizer for Cell-Free Massive MIMO Systems over Correlated Rician Channels
A protocol to reduce worst-case latency in deflection-based on-chip networks
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models
Development of a Secure and Private Electronic Procurement System based on Blockchain Implementation
Unifying susceptible-infected-recovered processes on networks
Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters
Predictability maximization and the origins of word order harmony
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
Soft Constraint Logic Programming for Electric Vehicle Travel Optimization
Global Controllability for General Nonlinear Systems
A centralized reinforcement learning method for multi-agent job scheduling in Grid
Bird Flocking Inspired Control Strategy for Multi-UAV Collective Motion
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings
Data collaboration analysis for distributed datasets
Fast Query Processing Using Cooperative CPU Caching for Index Structures
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
Advanced spectral clustering for heterogeneous data in credit risk monitoring systems
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics