yusuke1997/dblp-id-title huggingface dataset:
Box-DETR: Understanding and Boxing Conditional Spatial Queries
Algebraic geometry codes and some applications
LEO-based Positioning: Foundations, Signal Design, and Receiver Enhancements for 6G NTN
Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness
PDWN: Pyramid Deformable Warping Network for Video Interpolation
From Contracts in Structured English to CL Specifications
Marine vessel tracking using a monocular camera
BRIDGE: Bundle Recommendation via Instruction-Driven Generation
Unsolvability and Beyond in Many-To-Many Non-Bipartite Stable Matching
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative
Learning to Occlusion-Robustly Estimate 3-D States of Deformable Linear Objects from Single-Frame Point Clouds
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection
OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation
Explosive cooperation in social dilemmas on higher-order networks
Automated Prototype Generation from Formal Requirements Model
Differential interactive games: The short-term predictions
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation
The 3-satisfiability problem
Universal Metric Learning with Parameter-Efficient Transfer Learning
Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India
EcoAlign: An Economically Rational Framework for Efficient LVLM Alignment
Compiling Petri Net Mutual Reachability in Presburger
Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data
Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management
Decentralized Aerial Transportation and Manipulation of a Cable-Slung Payload With Swarm of Agents
Teaching and Learning Ethnography for Software Engineering Contexts
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo
In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
Stability-enhanced AP IMEX1-LDG method: energy-based stability and rigorous AP property
CNN-BiLSTM for sustainable and non-invasive COVID-19 detection via salivary ATR-FTIR spectroscopy
Hierarchical Document Parsing via Large Margin Feature Matching and Heuristics
On representation formulas for optimal control: A Lagrangian perspective
Towards the Human Digital Twin: Definition and Design - A survey
Music Genre Classification using Masked Conditional Neural Networks
DELM: a Python toolkit for Data Extraction with Language Models
Challenge of Multi-Camera Tracking
Dr. GPT in Campus Counseling: Understanding Higher Education Students' Opinions on LLM-assisted Mental Health Services
Robust Information Selection for Hypothesis Testing with Misclassification Penalties
Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
Biologically-Inspired Spatial Neural Networks
Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency
Innovative Gain Reconfiguration for Active Fault-Tolerant Flight Control: Balance of Stability and Agility
Incentive Design for Ridesharing with Uncertainty
A Circular Interference Model for Asymmetric Aggregate Interference
Bin2Vec: Interpretable and Auditable Multi-View Binary Analysis for Code Plagiarism Detection
Silver medal Solution for Image Matching Challenge 2024
Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Views
Laser Communication and Coordination Control of Spacecraft Swarms
ASAP: an Agentic Solution to Auto-optimize Performance of Large-Scale LLM Training
Accelerated computational micromechanics
UniBERTs: Adversarial Training for Language-Universal Representations
Interactively Learning to Summarise Timelines by Reinforcement Learning
The Rise and Fall of a Central Contributor: Dynamics of Social Organization and Performance in the Gentoo Community
Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors
A Distributed Clustering Algorithm for Dynamic Networks
Supporting acceptance testing in distributed software projects with integrated feedback systems: Experiences and requirements
Satisfiability and computing van der Waerden numbers
Double Graphs Regularized Multi-view Subspace Clustering
SIMD Lossy Compression for Scientific Data
A network-based approach to QAnon user dynamics during COVID-19 infodemic
Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition
Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise
People Counting in Crowded and Outdoor Scenes using an Hybrid Multi-Camera Approach
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
QuMATL: Query-based Multi-annotator Tendency Learning
A Semi-Intelligence Algorithm For Charging Electric Vehicles
Patent Retrieval: A Literature Review
Real-time Object Detection and Associated Hardware Accelerators Targeting Autonomous Vehicles: A Review
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Video-based Point Cloud Compression Artifact Removal
Generating social networks with static and dynamic utility-maximization approaches
Paying more attention to local contrast: improving infrared small target detection performance via prior knowledge
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
Análisis de Canasta de mercado en supermercados mediante mapas auto-organizados
2-Local Hamiltonian with Low Complexity is QCMA
DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather
Determining band structure parameters of two-dimensional materials by deep learning
Reduced Ambiguity Calibration for LOFAR
Spectral Efficiency Expression for the Non-Linear Schrödinger Channel in the Low Noise Limit Using Scattering Data
When Competition Helps: Achieving Optimal Traffic Flow with Multiple Autonomous Planners
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier
Using Machine Learning to Distinguish Human-written from Machine-generated Creative Fiction
Multi-player Bandits for Distributed Cognitive Radar
Robust Data Detection for MIMO Systems with One-Bit ADCs: A Reinforcement Learning Approach
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
A Bayesian Approach to Identifying Representational Errors
Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks
Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL
Categorical Difference and Related Brain Regions of the Attentional Blink Effect
Finding neural signatures for obesity using source-localized EEG features
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds
A Low-Cost Embedded System for Automated Patient Queue and Health Data Management in Private Medical Chambers
Exploring the Trade-Off between Privacy and Coordination in Millimeter Wave Spectrum Sharing
Uncovering Spatiotemporal and Semantic Aspects of Tourists Mobility Using Social Sensing
SingleStrip: learning skull-stripping from a single labeled example
Analysis of Hydrological and Suspended Sediment Events from Mad River Wastershed using Multivariate Time Series Clustering
The Dynamic Resilience of Urban Labour Networks
Support Exploration Algorithm for Sparse Support Recovery
Geometry-aware Temporal Aggregation Network for Monocular 3D Lane Detection
Prognosis of Anterior Cruciate Ligament (ACL) Reconstruction: A Data Driven Approach
Minimal series-parallel network realizations of bicubic impedances
The Sum-Rate-Distortion Region of Correlated Gauss-Markov Sources
Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors
An algorithm for g-invariant on unary Hermitian lattices over imaginary quadratic fields
TransformMix: Learning Transformation and Mixing Strategies from Data
PolyOCP.jl - A Julia Package for Stochastic OCPs and MPC
Memory Based Attentive Fusion
Minimum Attention Control (MAC) in a Receding Horizon Framework with Applications
Quantum Deep Learning Still Needs a Quantum Leap
Improving the Space-Time Efficiency of Processor-Oblivious Matrix Multiplication Algorithms
Covering radii of 3-zonotopes and the shifted Lonely Runner Conjecture
Hybrid Collision Avoidance for ASVs Compliant with COLREGs Rules 8 and 13-17
Multilingual Text Representation
Query-Efficient Fixpoints of ℓ p -Contractions
Analysis and tuning of a three-term DMC
A Conceptual Framework for Establishing Trust in Real World Intelligent Systems
A new Video Synopsis Based Approach Using Stereo Camera
Optimized Quality Factor of Fractional Order Analog Filters with Band-Pass and Band-Stop Characteristics
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
A Novel Approach of Pseudorandomly sorted list-based Steganography
Design and Implementation of FourCropNet: A CNN-Based System for Efficient Multi-Crop Disease Detection and Management
COVID-19 and Digital Resilience: Evidence from Uber Eats
On the Strong Metric Dimension of directed co-graphs
Implicit Rate-Constrained Optimization of Non-decomposable Objectives
Tensor PCA from basis in tensor space
Progressive Neural Networks for Image Classification
The operadic theory of convexity
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
On the complexity of acyclic modules in automata networks
Few-Shot Concept Unlearning with Low Rank Adaptation
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
Efficient Multitask Learning in Small Language Models Through Upside-Down Reinforcement Learning
Capturing the Variabilities of Distribution Network Net-Load via Available Flexibility of Microgrids
Transductive Off-policy Proximal Policy Optimization
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
ExtremeBB: Enabling Large-Scale Research into Extremism, the Manosphere and Their Correlation by Online Forum Data
Comparison of the Performance of Two Service Disciplines for a Shared Bus Multiprocessor with Private Caches
Topological semantics for paraconsistent and paracomplete logics in Isabelle/HOL
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling
Embedding Digital Signature into CSV Files Using Data Hiding
Analisis dan Perancangan Wireless Roaming (Studi Kasus Universitas Baturaja)
Modelling Interaction of Sentence Pair with coupled-LSTMs
Characterizing positive-rate key-cast (and multicast network coding) with eavesdropping nodes
Leak@k: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding
Koopman Analytical Modeling of Position and Attitude Dynamics: a Case Study for Quadrotor Control
Mapping The Best Practices of XP and Project Management: Well defined approach for Project Manager
Can LLMs Formally Reason as Abstract Interpreters for Program Analysis?
Analysis of a Greedy Heuristic for the Labeling of a Map with a Time-Window Interface
mSCTP Based Decentralized Mobility Framework
RSSI-based Secure Localization in the Presence of Malicious Nodes in Sensor Networks
Moderate Actor-Critic Methods: Controlling Overestimation Bias via Expectile Loss
A Shape-Aware Total Body Photography System for In-focus Surface Coverage Optimization
Digital Collections Explorer: An Open-Source, Multimodal Viewer for Searching Digital Collections
General Force Sensation for Tactile Robot
The Moving Discontinuous Galerkin Finite Element Method with Interface Condition Enforcement for Compressible Viscous Flows
Pseudorandom number generator based on the Bernoulli map on cubic algebraic integers
dFlow: A Domain Specific Language for the Rapid Development of open-source Virtual Assistants
PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging
LUNA-CIM: Lookup Table based Programmable Neural Processing in Memory
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
Learning Compact Target-Oriented Feature Representations for Visual Tracking
A time for monsters: Organizational knowing after LLMs
Next-Gen Software Engineering: AI-Assisted Big Models
Cyclic Communication and the Inseparability of MIMO Multi-way Relay Channels
Accurate Latent Inversion for Generative Image Steganography via Rectified Flow
Streamlining Conformal Information Retrieval via Score Refinement
A Distributed Framework to Orchestrate Video Analytics Applications
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
Data-Driven Spatiotemporal Feature Representation and Mining in Multidimensional Time Series
Model order reduction techniques for the stochastic finite volume method
CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation
HyperDiff: Hypergraph Guided Diffusion Model for 3D Human Pose Estimation
Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble
Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
New Inner and Outer Bounds for 2-User Gaussian Broadcast Channels with Heterogeneous Blocklength Constraints
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
A Taxonomy of Stereotype Content in Large Language Models
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
Silent Until Sparse: Backdoor Attacks on Semi-Structured Sparsity
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size
Large Language Models for Control
Optimal control of stochastic reaction networks with entropic control cost and emergence of mode-switching strategies
EnhanceGraph: A Continuously Enhanced Graph-based Index for High-dimensional Approximate Nearest Neighbor Search
LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems through Polling-Free and Retry-Free Operation
Open WebUI: An Open, Extensible, and Usable Interface for AI Interaction
Reliable Fine-Grained Evaluation of Natural Language Math Proofs
Visual GUI testing in practice: An extended industrial case study
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
Living Images: A Recursive Approach to Computing the Structural Beauty of Images or the Livingness of Space
A statistical mechanical interpretation of algorithmic information theory III: Composite systems and fixed points
Physics-Informed Detection of Friction Anomalies in Satellite Reaction Wheels
An analysis of Bennett's pebble game
OncoReg: Medical Image Registration for Oncological Challenges
Evaluating subgroup disparity using epistemic uncertainty in mammography
A comprehensive comparative evaluation and analysis of Distributional Semantic Models
FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3) N Diffusion Refinement
Variable-Rate M-PSK Communications without Channel Amplitude Estimation
The Dangers of Computational Law and Cybersecurity; Perspectives from Engineering and the AI Act
Unified Generative Latent Representation for Functional Brain Graphs
SPUX Framework: a Scalable Package for Bayesian Uncertainty Quantification and Propagation
Identification of the Most Significant Parameter for Optimizing the Performance of RPL Routing Protocol in IoT Using Taguchi Design of Experiments
Open-Vocabulary Panoptic Segmentation with MaskCLIP
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Machine learning discovers invariants of braids and flat braids
An Improved Topic Masking Technique for Authorship Analysis
Superiority of Multi-Head Attention in In-Context Linear Regression
Shape complexity estimation using VAE
Visual Exploration of Movement Relatedness for Multi-species Ecology Analysis
Semantic Processing of Out-Of-Vocabulary Words in a Spoken Dialogue System
Machine learning approaches for localized lockdown during COVID-19: a case study analysis
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing
Checking Consistency of Event-driven Traces
Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning
Deciding the Computability of Regular Functions over Infinite Words
On audio enhancement via online non-negative matrix factorization
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs
ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
Box-Level Class-Balanced Sampling for Active Object Detection
Permutation invariance and uncertainty in multitemporal image super-resolution
Machine Learning Approach to Earthquake Rupture Dynamics
The effect of randomness for dependency map on the robustness of interdependent lattices
Information Geometry of Evolution of Neural Network Parameters While Training
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator
End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
Online anomaly detection using statistical leverage for streaming business process events
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
A 410GFLOP/s, 64 RISC-V Cores, 204.8GBps Shared-Memory Cluster in 12nm FinFET with Systolic Execution Support for Efficient B5G/6G AI-Enhanced O-RAN
Enhancing Automatic Modulation Recognition With a Reconstruction-Driven Vision Transformer Under Limited Labels
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Lafite2: Few-shot Text-to-Image Generation
An Improved Remote User Authentication Scheme Using Smart Cards
Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis
Cache is King: Smart Page Eviction with eBPF
Generalized ovals, 2.5-dimensional additive codes, and multispreads
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors
Synecdoche: Efficient and Accurate In-Network Traffic Classification via Direct Packet Sequential Pattern Matching
Secure Beamforming Design for Rate-Splitting Multiple Access in Multi-antenna Broadcast Channel with Confidential Messages
Attributes as Operators
Performance Evaluation of SIFT Descriptor against Common Image Deformations on Iban Plaited Mat Motifs
A Bird's eye view of Matrix Distributed Processing
Proceedings First Workshop on Applications of Membrane computing, Concurrency and Agent-based modelling in POPulation biology, AMCA-POP 2010, Jena, Germany, 25th August 2010
Operationalizing Quantized Disentanglement
Type Universes as Allocation Effects
Easy Transfer Learning By Exploiting Intra-domain Structures
Strong blocking sets and minimal codes from expander graphs
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Verbal Interactions in Virtual Worlds
Three ways that non-differentiability affects neural network training
[Re] Badder Seeds: Reproducing the Evaluation of Lexical Methods for Bias Measurement
A Data Cleansing Method for Clustering Large-scale Transaction Databases
Increasing Transmission Distance in THz systems with Erasure Coding and Auxiliary Channels
CleanUpBench: Embodied Sweeping and Grasping Benchmark
Structural Material Property Tailoring Using Deep Neural Networks
Compliant Constant Output / Input Force Mechanisms - Topology Optimization with Contact
Pedestrian Intention Classifier using ID3 Modelled Decision Trees for IoT Edge Devices
Towards an extension of Fault Trees in the Predictive Maintenance Scenario
Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty
Continual Learning Should Move Beyond Incremental Classification
An Optimization-Based Framework for Automated Market-Making
AI and the Iterable Epistopics of Risk
Optimal Private Payoff Manipulation against Commitment in Extensive-form Games
A Novel Optimized Decomposition Method for Smoluchowski's Aggregation Equation
A systematic mapping on quantum software development in the context of software engineering
Same Same, but Different: A Descriptive Differentiation of Intra-cloud Iaas Services
Multimodal One-Shot Learning of Speech and Images
Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling
Containers as the Quantum Leap in Software Development
Latent Gaussian process with composite likelihoods for data-driven disease stratification
An Algorithmic Study of the Hypergraph Turán Problem
Going Whole Hog: A Philosophical Defense of AI Cognition
Communication Pattern Models: An Extension of Action Models for Dynamic-Network Distributed Systems
UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training
Blockchain for Finance: A Survey
Evolutionary Reinforcement Learning Dynamics with Irreducible Environmental Uncertainty
Lower Bound for Sculpture Garden Problem
Quantum Differential Cryptanalysis
Index Modulation for Integrated Sensing and Communications: A Signal Processing Perspective
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
Heuristics Optimization of Boolean Circuits with application in Attribute Based Encryption
Accelerated Hierarchical ADMM for Nonconvex Optimization in Multi-Agent Decision Making
On Rényi and Tsallis entropies and divergences for exponential families
An O(M(n) log n) algorithm for the Jacobi symbol
Solving the TTC 2011 Compiler Optimization Case with GROOVE
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content
A full dichotomy for Holant c , inspired by quantum computation
Cellular Traffic Prediction Using Online Prediction Algorithms
Anomaly scores for generative models
Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-based Diagnosis
Optimal Linear Signal: An Unsupervised Machine Learning Framework to Optimize PnL with Linear Signals
reclaimID: Secure, Self-Sovereign Identities using Name Systems and Attribute-Based Encryption
Botnet economics and devising defence schemes from attackers own reward processes
Image Categorization and Search via a GAT Autoencoder and Representative Models
ThinkBrake: Mitigating Overthinking in Tool Reasoning
Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards
Information Verification for Humanitarians: A Critical Review
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning
Molecular Code-Division Multiple-Access: Signaling, Detection, and Performance
Mathematics and Logic as Information Compression by Multiple Alignment Unification and Search