yusuke1997/dblp-id-title huggingface dataset:
Task Tree Retrieval Algorithms for Robotic Cooking Using The Functional Object-Oriented Network
γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition
An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks
Word Linear Complexity of sequences and Local Inversion of maps over finite fields
Probabilistic Operational Semantics for the Lambda Calculus
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents
Target-Free Compound Activity Prediction via Few-Shot Learning
Fully distributed optimal channel assignment for open spectrum access
Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization
Grid Long Short-Term Memory
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
Exploring System Resiliency and Supporting Design Methods
3D variational autoencoder for fingerprinting microstructure volume elements
Deciding Indistinguishability
Reset Controller Analysis and Design for Unstable Linear Plants using Scaled Relative Graphs
Daily rhythms in mobile telephone communication
H2Opus: A distributed-memory multi-GPU software package for non-local operators
First Plan Then Evaluate: Use a Vectorized Motion Planner for Grasping
A configuration model for correlation matrices
Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
Google Scholar Metrics evolution: an analysis according to languages
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration
Generalizable Cone Beam CT Esophagus Segmentation Using In Silico Data Augmentation
VLM-Guided Adaptive Negative Prompting for Creative Generation
On the Capacity of Wireless Networks with Random Transmission Delay
Robust Dynamic State Estimation of Synchronous Machines with Asymptotic State Estimation Error Performance Guarantees
QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)
Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
Evaluation Faking: Unveiling Observer Effects in Safety Evaluation of Frontier AI Systems
Variational Inference with Holder Bounds
Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models
Modelling Chinese Smart Grid: A Stochastic Model Checking Case Study
Interpolation property of shallow neural networks
MR 2 -Bench: Going Beyond Matching to Reasoning in Multimodal Retrieval
POLAR3D: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation
Fast simulation of Grover's quantum search on classical computer
Comparing Workflow Application Designs for High Resolution Satellite Image Analysis
User Behavior Assessment Towards Biometric Facial Recognition System: A SEM-Neural Network Approach
Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators
Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function
A Frame Rate Optimization Framework For Improving Continuity In Video Streaming
Coarsening in Algebraic Multigrid using Gaussian Processes
Continuous Assortment Optimization with Logit Choice Probabilities under Incomplete Information
Unambiguous languages exhaust the index hierarchy
EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy
Study on performance improvement of oil paint image filter algorithm using parallel pattern library
Practical Machine Learning for Aphasic Discourse Analysis
Parallel Simulation of Contact and Actuation for Soft Growing Robots
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering
Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarios
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
Enhancing Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems
EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation
Convex Class Model on Symmetric Positive Definite Manifolds
On the covering dimension of a linear code
Decomposition of the h-index
Network Coding Meets Information-Centric Networking
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
Benchmarking Federated Machine Unlearning methods for Tabular Data
Coherent Robust H-Infinity Control of Uncertain Linear Quantum Stochastic Systems
On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
Software engineering for mobile applications, a survey on challenges and solutions
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos
Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization
Safety-Critical Traffic Control by Connected Automated Vehicles
Speak, Edit, Repeat: High-Fidelity Voice Editing and Zero-Shot TTS with Cross-Attentive Mamba
The relational processing limits of classic and contemporary neural network models of language processing
GLOBE: Accurate and Generalizable PDE Surrogates using Domain-Inspired Architectures and Equivariances
Projection Methods in the Context of Nematic Crystal Flow
Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets
Vision-based flocking in outdoor environments
Spiking Neural Network for Intra-cortical Brain Signal Decoding
PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets
End-to-end training of deep kernel map networks for image classification
S3D: A Spatial Steerable Surgical Drilling Framework for Robotic Spinal Fixation Procedures
Task-driven Semantic-aware Green Cooperative Transmission Strategy for Vehicular Networks
Re-ID done right: towards good practices for person re-identification
Geometric Epitope and Paratope Prediction
A note on the paper arXiv: 2112.14547
Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
Pointer Data Structure Synthesis from Answer Set Programming Specifications
Google's 2019 "Quantum Supremacy" Claims: Data, Documentation, and Discussion
ODIM: an efficient method to detect outliers via inlier-memorization effect of deep generative models
Counterexample-Guided Abstraction Refinement for Generalized Graph Transformation Systems (Full Version)
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation
Towards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores
Incremental and Decremental Secret Key Agreement
On Projection-Based Model Reduction of Biochemical Networks- Part I: The Deterministic Case
Sliding Mode Control for Systems with Mismatched Time-Varying Uncertainties via a Self-Learning Disturbance Observer
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
High-order mass- and energy-conserving methods for the nonlinear Schrödinger equation and its hyperbolization
Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild
QoS-Aware 3D Coverage Deployment of UAVs for Internet of Vehicles in Intelligent Transportation
HipKittens: Fast and Furious AMD Kernels
Improving Weak-to-Strong Generalization with Reliability-Aware Alignment
Reinforcement Learning-Based Coverage Path Planning with Implicit Cellular Decomposition
KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots
A Survey of AIOps for Failure Management in the Era of Large Language Models
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate
Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets
Decoding Complexity: Intelligent Pattern Exploration with CHPDA (Context Aware Hybrid Pattern Detection Algorithm)
Dempster-Shafer Belief Function - A New Interpretation
Reasoning with Probabilistic Logics
TimePred: efficient and interpretable offline change point detection for high volume data - with application to industrial process monitoring
Recursive matrix algorithms, distributed dynamic control, scaling, stability
On the bias of BFS
Offline Trajectory Generalization for Offline Reinforcement Learning
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM
Towards 3-Dimensional Rewriting Theory
Analytic evaluation of the small-world effect on a model approaching the Erdős-Rényi random graph
Can Online MBA Programs Allow Professional Working Mothers to Balance Work, Family, and Career Progression? A Case Study in China
RoboAfford++: A Generative AI-Enhanced Dataset for Multimodal Affordance Learning in Robotic Manipulation and Navigation
Simplifying Models with Unlabeled Output Data
CHASE: Accelerating Distributed Pointer-Traversals on Disaggregated Memory
Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction
Linear pattern matching on sparse suffix trees
Quantile Activation: departing from single point estimation for better generalization across distortions
An iterative feature selection method for GRNs inference by exploring topological properties
Consistency-diversity-realism Pareto fronts of conditional image generative models
CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
A Survey on Training-free Alignment of Large Language Models
Posterior Collapse as a Phase Transition in Variational Autoencoders
Egocentric Action Recognition by Video Attention and Temporal Context
From Failure Modes to Reliability Awareness in Generative and Agentic AI System
RoboBenchMart: Benchmarking Robots in Retail Environment
Controling the number of focal elements
Adaptive Energy Aware Data Aggregation Tree for Wireless Sensor Networks
Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
Text Classification using Artificial Intelligence
DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs
A note on the Bayesian regret of Thompson Sampling with an arbitrary prior
Principles, Paradigms and the Future of UAV Drone Teams in Use for Engineering and Operation of Landscape-Scale Deployable Structures
Agent-based models of collective intelligence
Stochastic Data-Driven Variational Multiscale Reduced Order Models
On The Reproducibility and Scalability of Extreme Scale Applications
Efficient lambda encodings for Mendler-style coinductive types in Cedille
NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Towards A Better Metric for Text-to-Video Generation
Transformer-Based Extraction of Statutory Definitions from the U.S. Code
Visual Geo-Localization from images
Computational complexity of Berry phase estimation in topological phases of matter
A multimedia recommendation model based on collaborative graph
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution
Situating Data Sets: Making Public Data Actionable for Housing Justice
VLSNR: Vision-Linguistics Coordination Time Sequence-aware News Recommendation
V-Words, Lyndon Words and Galois Words
Finite element approximation of Lyapunov equations for the computation of quadratic functionals of SPDEs
A Deep Reinforcement Learning Trader without Offline Training
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing
Faster-than-light effects and negative group delays in optics and electronics, and their applications
Numerical solution of FDE-IVPs by using Fractional HBVMs: the fhbvm code
Green Software Lab: Towards an Engineering Discipline for Green Software
Feedback through Overhearing
Secure and Private Vickrey Auction Protocols: A Secure Multiparty Computation Approach
The Impact of Noise Correlation and Channel Phase Information on the Data-Rate of the Single-Symbol ML Decodable Distributed STBCs
DreamJourney: Perpetual View Generation with Video Diffusion Models
Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling
A Tool to Facilitate Web-Browsing
Multi Player Tracking in Ice Hockey with Homographic Projections
Taylor Outlier Exposure
Optimal modularity and memory capacity of neural networks
Green WSUS
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations
On uncertainty-penalized Bayesian information criterion
Context-aware Decoding Reduces Hallucination in Query-focused Summarization
Katyusha: Accelerated Variance Reduction for Faster SGD
The security of the Coordicide: the implementation and analysis of possible attack vectors
From Remote Sensing to Multiple Time Horizons Forecasts: Transformers Model for CyanoHAB Intensity in Lake Champlain
LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models
Recent insights into the impact of geopolitical tensions: Quantifying the structure of computer science professors of Chinese descent in the United States
Temporal distribution of clusters of investors and their application in prediction with expert advice
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
A Novel Temperature-based Model for SWIPT
pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications
The Role of General Intelligence in Mathematical Reasoning
Report on Generic Case Complexity
Deep Grasp: Detection and Localization of Grasps with Deep Neural Networks
Verification of agent knowledge in dynamic access control policies
Inverse Kinematics for Control of Tensegrity Soft Robots: Existence and Optimality of Solutions
Provability in BI's Sequent Calculus is Decidable
Estimating Self-Sustainability in Peer-to-Peer Swarming Systems
Hidden Minima in Two-Layer ReLU Networks
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM
DENet: Dual-Path Edge Network with Global-Local Attention for Infrared Small Target Detection
Evolving Fuzzy Image Segmentation with Self-Configuration
What fifty-one years of Linguistics and Artificial Intelligence research tell us about their correlation: A scientometric review
Comparative Analysis of Contextual Relation Extraction based on Deep Learning Models
Stochastic Bilevel Optimization with Heavy-Tailed Noise
SubwayPS: Towards Enabling Smartphone Positioning in Underground Public Transportation Systems
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
Learning-based Compression for Material and Texture Recognition
Using Steganography and Watermarking For Medical Image Integrity
A Space-Efficient Design for Reversible Floating Point Adder in Quantum Computing
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
Pivot Sampling in QuickXSort: Precise Analysis of QuickMergesort and QuickHeapsort
Communication by means of Modulated Johnson Noise
Mining Legal Arguments in Court Decisions
Using SWISH to realise interactive web based tutorials for logic based languages
Measuring Latency Reduction and the Digital Divide of Cloud Edge Datacenters
Two and three dimensional H 2 -conforming finite element approximations without C 1 -elements
RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model
Seeing, Saying, Solving: An LLM-to-TL Framework for Cooperative Robots
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
Defining Spatial Security Outage Probability for Exposure Region Based Beamforming
GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation
Analysis of Second-order Statistics Based Semi-blind Channel Estimation in CDMA Channels
On Fast Computation of Directed Graph Laplacian Pseudo-Inverse
A dynamic network in a dynamic population: asymptotic properties
Using Natural Language Processing and Qualitative Analysis to Intervene in Gang Violence: A Collaboration Between Social Work Researchers and Data Scientists
Coherence of strict equalities in dependent type theories
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Conceptual Modeling with Constraints
DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network
Diversity driven Attention Model for Query-based Abstractive Summarization
Small Signal Stability Analysis of Kurdistan Regional Power System
Secure Lightweight Authentication for Multi User IoT Environment
Detecting and classifying lesions in mammograms with Deep Learning
Data Mesh: a Systematic Gray Literature Review
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging
High-Dimensional Statistical Process Control via Manifold Fitting and Learning
Can large language models democratize access to dual-use biotechnology?
Predicting Onflow Parameters Using Transfer Learning for Domain and Task Adaptation
There are k-uniform cubefree binary morphisms for all k >= 0
Plan-X: Instruct Video Generation via Semantic Planning
Directed Graph-based Wireless EEG Sensor Channel Selection Approach for Cognitive Task Classification
Exploring Repetitiveness Measures for Two-Dimensional Strings
Overhearing LLM Agents: A Survey, Taxonomy, and Roadmap
Can Language Models Explain Their Own Classification Behavior?
Logical Rule Induction and Theory Learning Using Neural Theorem Proving
PIVOINE: Instruction Tuning for Open-world Information Extraction
Demystifying Regular Expression Bugs: A comprehensive study on regular expression bug causes, fixes, and testing
Will SDN be part of 5G?
An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
Strategic Insights in Human and Large Language Model Tactics at Word Guessing Games
Parameter Optimization of Optical Six-Axis Force/Torque Sensor for Legged Robots
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
Rethinking The Memory Staleness Problem In Dynamics GNN
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization
Topic-based Evaluation for Conversational Bots
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture
BioMetaphor: AI-Generated Biodata Representations for Virtual Co-Present Events
Occupancy Prediction for Building Energy Systems with Latent Force Models
2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval
PANDA - Adapting Pretrained Features for Anomaly Detection
Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction
Face De-Spoofing: Anti-Spoofing via Noise Modeling
Generalization capabilities of translationally equivariant neural networks
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning
Unique Reconstruction of Coded Strings from Multiset Substring Spectra
LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach
Do We Need Domain-Specific Embedding Models? An Empirical Investigation
Relay-Selection Improves the Security-Reliability Trade-off in Cognitive Radio Systems
Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles
Convolutional Neural Networks Considering Local and Global features for Image Enhancement
Personalized Acoustic Modeling by Weakly Supervised Multi-Task Deep Learning using Acoustic Tokens Discovered from Unlabeled Data
Exact Reconstruction from Insertions in Synchronization Codes
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation
LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction
DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory
Expressive Forecasting of 3D Whole-body Human Motions
Prototyping the Semantics of a DSL using ASF+SDF: Link to Formal Verification of DSL Models
SGD Convergence under Stepsize Shrinkage in Low-Precision Training
Gabor frames with rational density
Feedback-based Approach to Introduce Freshness in Recommendations
Adaptive Thinking via Mode Policy Optimization for Social Language Agents
Bayesian Modeling of a Human MMORPG Player
Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding
Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases
On the Security of Warning Message Dissemination in Vehicular Ad Hoc Networks
Kuksa*: Self-Adaptive Microservices in Automotive Systems
ResBinNet: Residual Binary Neural Network
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning
Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring?
Data-Driven Nonlinear State Observation using Video Measurements
Quantum control in the presence of strongly coupled non-Markovian noise
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
Attribution Score Alignment in Explainable Data Management
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets
The Limits of Preference Data for Post-Training
FedEmbed: Personalized Private Federated Learning
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients