yusuke1997/dblp-id-title huggingface dataset:
A complete anytime algorithm for balanced number partitioning
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
Circle Packing for Origami Design Is Hard
A Categorical Construction of the Real Unit Interval
Data-Driven Physical Face Inversion
Polynomial Time Algorithm for ARRIVAL on Tree-like Multigraphs
A Bayesian Approach to Income Inference in a Communication Network
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
Fast Rational Search via Stern-Brocot Tree
Increasing the Capability of Neural Networks for Surface Reconstruction from Noisy Point Clouds
Quantum preprocessing for security enhancement in classical two-party computation
Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks
Bridging the Gap: Physical PCI Device Integration Into SystemC-TLM Virtual Platforms
Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
Boundary element formulation of the Mild-Slope Equation for harmonic water waves propagating over unidirectional variable bathymetries
Automatic Selection of Stochastic Watershed Hierarchies
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Learning Mamba as a Continual Learner
Quantum Computation, Categorical Semantics and Linear Logic
Deep learning-based Crop Row Following for Infield Navigation of Agri-Robots
Distributed Target Tracking with Fading Channels over Underwater Wireless Sensor Networks
A Convex Obstacle Avoidance Formulation
Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition
Learning about the reduction of food waste using Blockchain technology
Edge Preserving CNN SAR Despeckling Algorithm
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
Mutual Information Scaling and Expressive Power of Sequence Models
Achievable Rate and Energy Efficiency of Hybrid and Digital Beamforming Receivers with Low Resolution ADC
Improving the accuracy of food security predictions by integrating conflict data
Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation
A Transfer-Learnable Natural Language Interface for Databases
Scheduling and Power Control for V2V Broadcast Communications with Adjacent Channel Interference
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Novel differential quadrature element method for higher order strain gradient elasticity theory
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
Approximation Schemes for POMPDs with Continuous Spaces and Their Near Optimality
vTTS: visual-text to speech
Relative Entropy-Based Waveform Optimization for Rician Target Detection with Dual-Function Radar Communication Systems
Innovation processes for inference
A μ-mode approach for exponential integrators: actions of φ-functions of Kronecker sums
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective
PixelHuman: Animatable Neural Radiance Fields from Few Images
Repetitive Finite Automata With Translucent Letters
Weighted Sum of Segmented Correlation: An Efficient Method for Spectra Matching in Hyperspectral Images
Path Planning with Potential Field-Based Obstacle Avoidance in a 3D Environment by an Unmanned Aerial Vehicle
Syntactic Complexity of Circular Semi-Flower Automata
"Conjectural" links in complex networks
Generating and Solving Symbolic Parity Games
Repairable Replication-based Storage Systems Using Resolvable Designs
Learning from Massive Human Videos for Universal Humanoid Pose Control
Linear time Evidence Accumulation Clustering with KMeans
On Deep Learning-Based Channel Decoding
A direct reconstruction method for radiating sources in Maxwell's equations with single-frequency data
Robust Data Valuation via Variance Reduced Data Shapley
Training-Based Schemes are Suboptimal for High Rate Asynchronous Communication
Investigating Length Issues in Document-level Machine Translation
Training Recurrent Answering Units with Joint Loss Minimization for VQA
Dynamic Optimization on Quantum Hardware: Feasibility for a Process Industry Use Case
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs
Discrepancy of Arithmetic Progressions in Boxes and Convex Bodies
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
Libfork: portable continuation-stealing with stackless coroutines
Deep Learning for 1-Bit Compressed Sensing-based Superimposed CSI Feedback
The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?
Sequence to Sequence Learning for Optical Character Recognition
Perspectives on risk prioritization of data center vulnerabilities using rank aggregation and multi-objective optimization
An Intelligent Group Event Recommendation System in Social networks
A Graph-based Imputation Method for Sparse Medical Records
Generalization of Rashmi-Shah-Kumar Minimum-Storage-Regenerating Codes
Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
Understanding performance variability in standard and pipelined parallel Krylov solvers
PI : a Parallel in-memory skip list based Index
On repetitiveness measures of Thue-Morse words
Monkeypox Image Data collection
A Simple Derivation of the Heap's Law from the Generalized Zipf's Law
Online Clustering with Bandit Information
Mask2IV: Interaction-Centric Video Generation via Mask Trajectories
Convergence of optimized non-overlapping Schwarz method for Helmholtz problems in closed domains
Bounding the Estimation Error of Sampling-based Shapley Value Approximation With/Without Stratifying
Certifiably Robust RAG against Retrieval Corruption
PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing
End-of-Life of Software How is it Defined and Managed?
A Game-Theoretic Analysis of User Behaviors in Crowdsourced Wireless Community Networks
Assessment of electrical and infrastructure recovery in Puerto Rico following hurricane Maria using a multisource time series of satellite imagery
Order Fairness Evaluation of DAG-based ledgers
Additive Stabilizers for Unstable Graphs
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes
LLMs as Judges: Toward The Automatic Review of GSN-compliant Assurance Cases
Explicit RIP Matrices in Compressed Sensing from Algebraic Geometry
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving
Could Thinking Multilingually Empower LLM Reasoning?
Towards a Unified Pandemic Management Architecture: Survey, Challenges and Future Directions
Online Convex Optimization with Memory and Limited Predictions
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images
Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
CMADiff: Cross-Modal Aligned Diffusion for Controllable Protein Generation
Lessons Learned Developing an Assembly System for WRS 2020 Assembly Challenge
Routine Usage of AI-based Chest X-ray Reading Support in a Multi-site Medical Supply Center
Current Source Localization Using Deep Prior with Depth Weighting
A Self-Compiling Android Data Obfuscation Tool
Guaranteed Fault Detection and Isolation for Switched Affine Models
On the complexity of the middle curve problem
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning
Two-Stream Transformer Architecture for Long Video Understanding
EphemeriShield - defence against cyber-antisatellite weapons
AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations
Calculation software for efficiency and penetration of a fibrous filter medium based on the mathematical models of air filtration
The Refinement Calculus of Reactive Systems
Automated Code Repair for C/C++ Static Analysis Alerts
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
Towards Unsupervised HPO for Outlier Detection
The Hush Cryptosystem
Accounts of using the Tustin-Net architecture on a rotary inverted pendulum
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
Enhancing Temporal Planning Domains by Sequential Macro-actions (Extended Version)
LETS-C: Leveraging Language Embedding for Time Series Classification
On Equivalent Optimization of Machine Learning Methods
On the Convergence of Muon and Beyond
A Simple, Faster Method for Kinetic Proximity Problems
Low Resource Neural Machine Translation: A Benchmark for Five African Languages
A preconditioned MINRES method for optimal control of wave equations and its asymptotic spectral distribution theory
Optimal bump functions for shallow ReLU networks: Weight decay, depth separation and the curse of dimensionality
Weaving Multi-scale Context for Single Shot Detector
A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based Brain Age Prediction
Studying Breakdowns in Interactions with Smart Speakers
ML4CO-KIDA: Knowledge Inheritance in Data Aggregation
Singularity Analysis of Lower-Mobility Parallel Manipulators Using Grassmann-Cayley Algebra
Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing
Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
Low-dimensional Semantic Space: from Text to Word Embedding
Geometric dual and sum-rank minimal codes
DeepVARwT: Deep Learning for a VAR Model with Trend
Haptic Shared Control Improves Neural Efficiency During Myoelectric Prosthesis Use
Blockchain Enabled Privacy Preserving Data Audit
Coded Computing: A Learning-Theoretic Framework
Reinforcement Learning Agent for a 2D Shooter Game
A categorical invariant of flow equivalence of shifts
On Two-Handed Planar Assembly Partitioning
EntityCLIP: Entity-Centric Image-Text Matching via Multimodal Attentive Contrastive Learning
Generalised Harmonic Domain Analysis for Transformer Core Hysteresis Modelling
An Analysis of Abstractive Text Summarization Using Pre-trained Models
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
Memento: Time Travel for the Web
Is there agreement on the prestige of scholarly book publishers in the Humanities? DELPHI over survey results
ICS-Sniper: A Targeted Blackhole Attack on Encrypted ICS Traffic
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation
JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization
Handwritten Digit Recognition using Machine and Deep Learning Algorithms
Dynamic Regularizer with an Informative Prior
A Commentary on the Linearity and Time-Invariance of ODE-Based Systems
Robust Deep Reinforcement Learning for Volt-VAR Optimization in Active Distribution System under Uncertainty
Test-driven Reinforcement Learning
A Low-Power 1 Gb/s Line Driver with Configurable Pre-Emphasis for Lossy Transmission Lines
Discrete Laplace-Beltrami Operator Determines Discrete Riemannian Metric
Continual Learning with Columnar Spiking Neural Networks
TRADI: Tracking deep neural network weight distributions
Power Allocation for Outage Minimization in Cognitive Radio Networks with Limited Feedback
UNITER: Learning UNiversal Image-TExt Representations
Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model
Optimization of an electromagnetics code with multicore wavefront diamond blocking and multi-dimensional intra-tile parallelization
Visualization for Villainy
Near-Optimal Self-Stabilising Counting and Firing Squads
IPOD: Corpus of 190, 000 Industrial Occupations
Machine-learning of nonlocal kernels for anomalous subsurface transport from breakthrough curves
The Multi-Faceted Monosemanticity in Multimodal Representations
Semi-Periodic Activation for Time Series Classification
There and Back Again: On the relation between noises, images, and their inversions in diffusion models
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data
Does Knowledge Help General NLU? An Empirical Study
Localized eigenvector of the non-backtracking matrix
Scalable Device-to-Device Communications For Frequency Reuse >> 1
Local Herb Identification Using Transfer Learning: A CNN-Powered Mobile Application for Nepalese Flora
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy
WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Ranker-agnostic Contextual Position Bias Estimation
An Information-Theoretic Analysis of the Gaussian Multicast Channel with Interactive User Cooperation
A polynomially accelerated fixed-point iteration for vector problems
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?
Code Spectrum and Reliability Function: Binary Symmetric Channel
Texture Classification of MR Images of the Brain in ALS using CoHOG
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
Dual of Codes over Finite Quotients of Polynomial Rings
How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm
Memory Sharing with CXL: Hardware and Software Design Approaches
Relative clock demonstrates the endogenous heterogeneity of human dynamics
Improving the Neural GPU Architecture for Algorithm Learning
Mined Prompting and Metadata-Guided Generation for Wound Care Visual Question Answering
Information Filtering via Implicit Trust-based Network
Extending the ARC Information Providers to report information on GPU resources
Application of Quantum Density Matrix in Classical Question Answering and Classical Image Classification
SketchBio: A Scientist's 3D Interface for Molecular Modeling and Animation
E 2 GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
InstructLR: A Scalable Approach to Create Instruction Dataset for Under-Resourced Languages
Decentralized Trusted Timestamping using the Crypto Currency Bitcoin
Bayes-Optimal Sequential Multi-Hypothesis Testing in Exponential Families
Hierarchical geometric deep learning enables scalable analysis of molecular dynamics
Resilient Output Consensus Control of Heterogeneous Multi-agent Systems against Byzantine Attacks: A Twin Layer Approach
Analysis and Design of Uncertain Cyber-Physical Systems
Improving Noise Robust Audio-Visual Speech Recognition via Router-Gated Cross-Modal Feature Fusion
PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation
The First-Order Theory of Binary Overlap-Free Words is Decidable
A Driving Risk Surrogate and Its Application in Car-Following Scenario at Expressway
A slow control system for the Garfield apparatus
Generalizing Weighted Trees: A Bridge from Bitcoin to GHOST
Path-wise Vulnerability Mitigation
Smoothing traffic flow through automated vehicle control with optimal parameter selection
Optimality of Spectral Clustering for Gaussian Mixture Model
Cross-Layer Federated Learning Optimization in MIMO Networks
Shesop Healthcare: Stress and influenza classification using support vector machine kernel
TokenPatronus: A Decentralized NFT Anti-theft Mechanism
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches
Elastic Boundary Projection for 3D Medical Imaging Segmentation
A Technical Look At The Indian Personal Data Protection Bill
Tensorized Spectrum Preserving Compression for Neural Networks
Epistemic Modeling with Justifications
Collective Knowledge Graph Completion with Mutual Knowledge Distillation
Efficiency and Parameter Selection of a micro-macro Markov chain Monte Carlo method for molecular dynamics
Improving Graph Neural Network Training Efficiency By Using Top Non-Robust Samples In The Training Set
Optimal control of linear systems with limited control actions: threshold-based event-triggered control
How to Measure TLS, X.509 Certificates, and Web PKI: A Tutorial and Brief Survey
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting
Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations
A Time-Scale Modification Dataset with Subjective Quality Labels
A Multi-stack Power-to-Hydrogen Load Control Framework for the Power Factor-Constrained Integration in Volatile Peak Shaving Conditions
Protecting multimodal large language models against misleading visualizations
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective
Noise is resource-contextual in quantum communication
Explaining Predictions of Deep Neural Classifier via Activation Analysis
Cluster Computing White Paper
A Separation Method for Multicomponent Nonstationary Signals with Crossover Instantaneous Frequencies
nanoHUB.org: Experiences and Challenges in Software Sustainability for a Large Scientific Community
A generalized discontinuous Hamilton Monte Carlo for transdimensional sampling
Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments
Energy-Efficient Federated Learning for AIoT using Clustering Methods
Separating Argument Structure from Logical Structure in AMR
Domain Adaptation in Highly Imbalanced and Overlapping Datasets
Optimal L 2 error estimates of mass- and energy-conserved FE schemes for a nonlinear Schrödinger-type system
Parallel state estimation for systems with integrated measurements
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess
Leveraging VAE-Derived Latent Spaces for Enhanced Malware Detection with Machine Learning Classifiers
Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations
Meta-reinforcement learning with minimum attention
Edge and Central Cloud Computing: A Perfect Pairing for High Energy Efficiency and Low-latency
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Optimal Methods for Higher-Order Smooth Monotone Variational Inequalities
Numerical solution of the unsteady Brinkman equations in the framework of H (div)-conforming finite element methods
Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with Bézier Curves
Mind the Language Gap in Digital Humanities: LLM-Aided Translation of SKOS Thesauri
Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
Adaptive solution of initial value problems by a dynamical Galerkin scheme
The Impact of Explanations on AI Competency Prediction in VQA
The Relaxed Square Property
Sequential choice in ordered bundles
Distances Between Partial Preference Orderings
EDCSSM: Edge Detection with Convolutional State Space Model
CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records
Learning the Simplest Neural ODE
Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet
Convergence of Deep Fictitious Play for Stochastic Differential Games
Enhancing Linear Attention with Residual Learning
How close are we to understanding image-based saliency?
Deep Spectral Clustering using Dual Autoencoder Network
Effective numerical integration on complex shaped elements by discrete signed measures
Transfer Learning With Densenet201 Architecture Model For Potato Leaf Disease Classification
Understanding with toy surrogate models in machine learning
Continual Learning via Sparse Memory Finetuning
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint
CNN-Based Automatic Urinary Particles Recognition
SoK: Scope and Mission of CS&Law
Hybrid Approach to English-Hindi Name Entity Transliteration
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
Does This Summary Answer My Question? Modeling Query-Focused Summary Readers with Rational Speech Acts
WMAS: A Multi-Agent System Towards Intelligent and Customized Wireless Networks
Evolution Guided Generative Flow Networks
Image Captioning with Visual Object Representations Grounded in the Textual Modality
Effect of Activation Function and Model Optimizer on the Performance of Human Activity Recognition System Using Various Deep Learning Models
Generic Guard AI in Stealth Game with Composite Potential Fields
PaRTAA: A Real-time Multiprocessor for Mixed-Criticality Airborne Systems
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
Non-equilibrium Annealed Adjoint Sampler
Role of Statistical tests in Estimation of the Security of a New Encryption Algorithm
A Computational Theory of Subjective Probability
CryptoDL: Deep Neural Networks over Encrypted Data
Dynamic Algorithms for Interval Scheduling on a Single Machine
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts
Confidence-driven Sampling for Backdoor Attacks
Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning
The FO^2 alternation hierarchy is decidable
Attribution Regularization for Multimodal Paradigms
Sentiment Analysis Using Collaborated Opinion Mining
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Forecasting Cryptocurrencies Log-Returns: a LASSO-VAR and Sentiment Approach
Tapping BERT for Preposition Sense Disambiguation
SAND Challenge: Four Approaches for Dysartria Severity Classification
MLDSE: Scaling Design Space Exploration Infrastructure for Multi-Level Hardware
On an entropy inequality for quadratic forms and applications
Distributional Gradient Boosting Machines
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Visual Tracking via Shallow and Deep Collaborative Model
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
A Unified Graph-based Framework for Scalable 3D Tree Reconstruction and Non-Destructive Biomass Estimation from Point Clouds
TD-Net: A Tri-domain network for sparse-view CT reconstruction
The Road Less Traveled: Enhancing Exploration in LLMs via Sequential Sampling
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning
RRULES: An improvement of the RULES rule-based classifier
Scalable and Effective Negative Sample Generation for Hyperedge Prediction
OceanChat: The Effect of Virtual Conversational AI Agents on Sustainable Attitude and Behavior Change
Sex, drugs, and violence
Deep Residual Hashing