yusuke1997/dblp-id-title huggingface dataset:
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
Writer adaptation for offline text recognition: An exploration of neural network-based methods
Semantic Parsing based on Verbal Subcategorization
Point-Driven Interactive Text and Image Layer Editing Using Diffusion Models
BlockNet Report: Exploring the Blockchain Skills Concept and Best Practice Use Cases
A solution for ARP spoofing: Layer-2 MAC and protocol filtering and arpserver
RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
Topological Structures on DMC spaces
AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
When does FTP become FPT?
Marginalized State Distribution Entropy Regularization in Policy Optimization
The Boolean complexity of computing Chow forms
GTOPX Space Mission Benchmarks
Layered Non-Orthogonal Random Access with SIC and Transmit Diversity for Reliable Transmissions
Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy
Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents
A Mass Conserving Mixed hp-FEM Scheme for Stokes Flow. Part III: Implementation and Preconditioning
State Estimation for Piecewise Affine State-Space Models
Ontology Based Information Integration: A Survey
Exploring the Self-enhanced Mechanism of Interactive Advertising Phenomenon - Based on the Research of Three Cases
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt Method
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
The DEformer: An Order-Agnostic Distribution Estimating Transformer
Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History
Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles
prNet: Data-Driven Phase Retrieval via Stochastic Refinement
Robust Entropy-regularized Markov Decision Processes
A note on Linear Bottleneck networks and their Transition to Multilinearity
Enhanced HLLEM and HLL-CPS schemes for all Mach number flows based using anti-diffusion coefficients
Random-Shift Revisited: Tight Approximations for Tree Embeddings and L1-Oblivious Routings
Detecting Linear Block Codes in Noise using the GLRT
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous Earth's subsurface
Security Policy Specification Using a Graphical Approach
Learning to Model the Grasp Space of an Underactuated Robot Gripper Using Variational Autoencoder
Biologically-Inspired Technologies: Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
Lattice protein design using Bayesian learning
Precision over Noise: Tailoring S3 Public Access Detection to Reduce False Positives in Cloud Security Platforms
Zenkai - Framework For Exploring Beyond Backpropagation
(Co)inductive Proof Systems for Compositional Proofs in Reachability Logic
ARMAN: A Reconfigurable Monolithic 3D Accelerator Architecture for Convolutional Neural Networks
Using Video Game Development to Motivate Program Design and Algebra Among Inner-City High School Students
The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
Recognition of Dysarthria in Amyotrophic Lateral Sclerosis patients using Hypernetworks
Query-based Video Summarization with Pseudo Label Supervision
Permutation Equivariant Generative Adversarial Networks for Graphs
Microplastic Identification Using AI-Driven Image Segmentation and GAN-Generated Ecological Context
Exact Synthetic Populations for Scalable Societal and Market Modeling
Human and Automatic Interpretation of Romanian Noun Compounds
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis
Generating Synthetic Data for Text Recognition
Visual Abductive Reasoning Meets Driving Hazard Prediction: Problem Formulation and Dataset
A Standardized Benchmark for Machine-Learned Molecular Dynamics using Weighted Ensemble Sampling
MatText: Do Language Models Need More than Text & Scale for Materials Modeling?
PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks
MotionCraft: Physics-based Zero-Shot Video Generation
Overlapped-MIMO Radar Waveform Design for Coexistence With Communication Systems
Percolation and Phase Transition in SAT
Generative diffusion models from a PDE perspective
Restricted Isometry Property in Quantized Network Coding of Sparse Messages
Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
UTSig: A Persian Offline Signature Dataset
Cognitive Debiasing Large Language Models for Decision-Making
Parallel optimization of fiber bundle segmentation for massive tractography datasets
Auction Theory Extensions for Real Life Applications
A Comparative Study of Adaptive Crossover Operators for Genetic Algorithms to Resolve the Traveling Salesman Problem
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?
Elusive Threats: Security Weaknesses of Commercial Cellular Networks
Multi-Modal Robust Enhancement for Coastal Water Segmentation: A Systematic HSV-Guided Framework
Quantum Consciousness Soccer Simulator
The Complexity of the Co-Occurrence Problem
A Study on Lampreys Population Based on Sex-Ratio-Related Growth-Balance Model
Task-Oriented Communications for Visual Navigation with Edge-Aerial Collaboration in Low Altitude Economy
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
Fast Sampling via De-randomization for Discrete Diffusion Models
A novel analytic method for solving linear and nonlinear Telegraph Equation
Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines
A Generalization of the Concavity of Rényi Entropy Powe
A 2D laser rangefinder scans dataset of standard EUR pallets
A Sketch-Based System for Human-Guided Constrained Object Manipulation
Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning
A Style and Semantic Memory Mechanism for Domain Generalization
An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation
Information-Theoretic Criteria for Knowledge Distillation in Multimodal Learning
Re-examining the Legendre-Gauss-Lobatto Pseudospectral Methods for Optimal Control
Dynamic Graph Condensation
AI Usage Cards: Responsibly Reporting AI-generated Content
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Objects detection for remote sensing images based on polar coordinates
Wasserstein Task Embedding for Measuring Task Similarities
Joint Chinese Word Segmentation and Span-based Constituency Parsing
Digital literacy interventions can boost humans in discerning deepfakes
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
Studying Dishonest Intentions in Brazilian Portuguese Texts
Benchmarking Harmonized Tariff Schedule Classification Models
CFNet: Optimizing Remote Sensing Change Detection through Content-Aware Enhancement
Research on Superalignment Should Advance Now with Parallel Optimization of Competence and Conformity
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing
Statistical Coherence Alignment for Large Language Model Representation Learning Through Tensor Field Convergence
Beyond chord vocabularies: Exploiting pitch-relationships in a chord estimation metric
The Price of Strategyproofing Peer Assessment
A Hybrid Computational Intelligence Framework for scRNA-seq Imputation: Integrating scRecover and Random Forests
Large Language Newsvendor: Decision Biases and Cognitive Mechanisms
Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach
Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction
On the Relative Completeness of Satisfaction-based Probabilistic Hoare Logic With While Loop
Towards Tokenized Human Dynamics Representation
Survival regression with accelerated failure time model in XGBoost
Integrating process design and control using reinforcement learning
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models
High-order algorithms for solving eigenproblems over discrete surfaces
Lazy Contracts: Alleviating High Gas Costs by Secure and Trustless Off-chain Execution of Smart Contracts
An Error-Resilient Redundant Subspace Correction Method
Guidance system for Visually Impaired Persons using Deep Learning and Optical flow
Understanding sparse autoencoder scaling in the presence of feature manifolds
STAT: Shrinking Transformers After Training
On van Kampen-Flores, Conway-Gordon-Sachs and Radon theorems
Pulse Shaped OFDM for 5G Systems
Scaling DeFi with ZK Rollups: Design, Deployment, and Evaluation of a Real-Time Proof-of-Concept
Privacy Perspectives and Practices of Chinese Smart Home Product Teams
Satisficing Exploration for Deep Reinforcement Learning
Surface stability of a layered magnetoelastic half-space
Cognitive Honeypots against Lateral Movement for Mitigation of Long-Term Vulnerability
A Behavioral Compact Model of 3D NAND Flash Memory
Centroid-based deep metric learning for speaker recognition
Wireless network signals with moderately correlated shadowing still appear Poisson
Active Learning for Skewed Data Sets
C-SL: Contrastive Sound Localization with Inertial-Acoustic Sensors
Combining Advanced Visualization and Automatized Reasoning for Webometrics: A Test Study
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
The Trusted Caregiver: The Influence of Eye and Mouth Design Incorporating the Baby Schema Effect in Virtual Humanoid Agents on Older Adults Users' Perception of Trustworthiness
A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning
Hurricanes and hashtags: Characterizing online collective attention for natural disasters
Unbiased and Multilevel Methods for a Class of Diffusions Partially Observed via Marked Point Processes
Belief propagation for graph partitioning
Detect Only What You Specify : Object Detection with Linguistic Target
Automatically Detecting Amusing Games in Wordle
AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
The Stretch - Length Tradeoff in Geometric Networks: Average Case and Worst Case Study
Fairness issues in a chain of IEEE 802.11 stations
Polynomial-Time Algorithms for Computing the Nucleolus: An Assessment
MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
Muse: Multi-modal target speaker extraction with visual cues
NeuralDP Differentially private neural networks by design
Stereo-Talker: Audio-driven 3D Human Synthesis with Prior-Guided Mixture-of-Experts
Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
Devnagari document segmentation using histogram approach
A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Parallel simulation of two-dimensional Ising models using Probabilistic Cellular Automata
Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification
Training Recurrent Neural Networks as a Constraint Satisfaction Problem
Bayesian Optimization using Deep Gaussian Processes
Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts
Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues
Pinball: A Cryogenic Predecoder for Surface Code Decoding Under Circuit-Level Noise
NOMAD Projection
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration
An Improved Enumeration Scheme for Subset Sum Problem
Supervised Hyperalignment for multi-subject fMRI data alignment
Lowering the Upper Bounds on the Cost of Robust Distributed Controllers Beyond Quadratic Invariance
Restricted Discrete Invariance and Self-Synchronization For Stable Walking of Bipedal Robots
Can we learn gradients by Hamiltonian Neural Networks?
Transfer Learning based Speech Affect Recognition in Urdu
Efficient Self-Ensemble Framework for Semantic Segmentation
Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?
Efficient 4D Gaussian Stream with Low Rank Adaptation
The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus
Robust Federated Learning in the Face of Covariate Shift: A Magnitude Pruning with Hybrid Regularization Framework for Enhanced Model Aggregation
Exploring Multimodal Large Language Models for Radiology Report Error-checking
Swarm-based optimization with jumps: a kinetic BGK framework and convergence analysis
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning
ML-Enhanced AES Anomaly Detection for Real-Time Embedded Security
Graph Residual Flow for Molecular Graph Generation
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning
Clustering - What Both Theoreticians and Practitioners are Doing Wrong
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Improving Integral Cryptanalysis against Rijndael with Large Blocks
CityFM: City Foundation Models to Solve Urban Challenges
Discrete Variational Autoencoding via Policy Search
Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
Monaural source separation: From anechoic to reverberant environments
Assessment of Urban Ecological Service value used in Urban Rail Transit Project
Understanding Task Transfer in Vision-Language Models
The FlySpeech Audio-Visual Speaker Diarization System for MISP Challenge 2022
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
Finite Commutative Rings with a Sum-Zero Character
Nature and the Machines
A Survey of Transaction Tracing Techniques for Blockchain Systems
HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning
SEARNN: Training RNNs with Global-Local Losses
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible
Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities
A wide diversity of 3D surfaces Generator using a new implicit function
LeXInt: GPU-accelerated Exponential Integrators package
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model
A Note on the Stability of the Sherman-Morrison-Woodbury Formula
A Generalized Nyquist Stability Criteria for Heterogeneous Networks
MicroVQA++: High-Quality Microscopy Reasoning Dataset with Weakly Supervised Graphs for Multimodal Large Language Model
Empirical Coordination for Joint Source-Channel Coding
Feature-based Decipherment for Large Vocabulary Machine Translation
Repeat Accumulate Based Designs for LDPC Codes on Fading Channels
Quantitative approximation results for complex-valued neural networks
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
Mining of product reviews at aspect level
Strong converse for the classical capacity of all phase-insensitive bosonic Gaussian channels
On Experiments
Careful at Estimation and Bold at Exploration
The Emptiness Problem for Tree Automata with at Least One Disequality Constraint is NP-hard
OK Google, What Is Your Ontology? Or: Exploring Freebase Classification to Understand Google's Knowledge Graph
Generalized and high-efficiency arbitrary-positioned buffer for smoothed particle hydrodynamics
CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery
Inversion of Bayesian Networks
Betting the system: Using lineups to predict football scores
Multibeam for Joint Communication and Sensing Using Steerable Analog Antenna Arrays
SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference
Hybrid Beamforming Design for Covert mmWave MIMO with Finite-Resolution DACs
Exploring The Role of Local and Global Explanations in Recommender Systems
Dynamical Persistent Homology via Wasserstein Gradient Flow
Soft Pneumatic Gelatin Actuator for Edible Robotics
On The Limitation of Some Fully Observable Multiple Session Resilient Shoulder Surfing Defense Mechanisms
Towards long-term player tracking with graph hierarchies and domain-specific features
Enhancing Group Fairness in Federated Learning through Personalization
Effect of realistic oscillator phase noise on the performance of cell-free networks
AI-Powered Early Detection of Critical Diseases using Image Processing and Audio Analysis
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
About compression of vocabulary in computer oriented languages
Hybrid Augmented Automated Graph Contrastive Learning
Convolutional Neural Network Quantization using Generalized Gamma Distribution
Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
Recurrence solution of monomer-polymer models on two-dimensional rectangular lattices
Securing the Network for a Smart Bracelet System
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equations
D-CTNet: A Dual-Branch Channel-Temporal Forecasting Network with Frequency-Domain Correction
Dual Interior-Point Optimization Learning
An output-sensitive algorithm for the minimization of 2-dimensional String Covers
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
Faster Parameterized Algorithms using Linear Programming
Weakly Secure MDS Codes for Simple Multiple Access Networks
Shape Programmable Magnetic Pixel Soft Robot
Mathematical Structure of Syntactic Merge
Sy-CON: Symmetric Contrastive Loss for Continual Self-Supervised Representation Learning
Kernelization and hardness of harmless sets in sparse classes
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos
Empowering Evolving Social Network Users with Privacy Rights
A small-gain theorem for 2-contraction of nonlinear interconnected systems
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data
RISC-NN: Use RISC, NOT CISC as Neural Network Hardware Infrastructure
Quantum secret sharing based on local distinguishability
Synchronized states of power grids and oscillator networks by convex optimization
LongCodeZip: Compress Long Context for Code Language Models
A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
Gaussian Process Regression - Neural Network Hybrid with Optimized Redundant Coordinates
Multi-Agent Scenario Generation in Roundabouts with a Transformer-enhanced Conditional Variational Autoencoder
A Scalable Video Search Engine Based on Audio Content Indexing and Topic Segmentation
A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
DDXPlus: A new Dataset for Medical Automatic Diagnosis
Sparse phase retrieval via group-sparse optimization
Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization
Symplectic Isometries of Stabilizer Codes
Multilevel Picard approximations of high-dimensional semilinear partial differential equations with locally monotone coefficient functions
Reply to 'Comments on Integer SEC-DED codes for low power communications'
On decoding of digital data sent over a noisy MIMO channel
The normalization of citation counts based on classification systems
Compositional Abstraction-based Synthesis for Networks of Stochastic Switched Systems
A collection of database industrial techniques and optimization approaches of database operations
H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
Recursive Offloading for LLM Serving in Multi-tier Networks
Non-cooperative Game For Capacity Offload
MARK: Memory Augmented Refinement of Knowledge
Real-world challenges for reinforcement learning in building control
A Provably Componentwise Backward Stable O(n 2 ) QR Algorithm for the Diagonalization of Colleague Matrices
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts
On the use of expectations for detecting and repairing human-machine miscommunication
On Assessing the Relevance of Code Reviews Authored by Generative Models
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Variations on Multi-Core Nested Depth-First Search
Helix: Distributed Serving of Large Language Models via Max-Flow on Heterogeneous GPUs
The Klarna Product Page Dataset: A Realistic Benchmark for Web Representation Learning
MBMamba: When Memory Buffer Meets Mamba for Structure-Aware Image Deblurring
The Dependence of Frequency Distributions on Multiple Meanings of Words, Codes and Signs
The quantum query complexity of certification
LAG: LLM agents for Leaderboard Auto Generation on Demanding
On Disentanglement in Gaussian Process Variational Autoencoders
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
Superconvergence of the MINI mixed finite element discretization of the Stokes problem: An experimental study in 3D
Beyond Carleman Linearization of Nonlinear Dynamical System: Insights from a Case Study
A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search
Region-based Cluster Discrimination for Visual Representation Learning
Cyclical Focal Loss
Hands-on experiments on intelligent behavior for mobile robots
Real-Time Structural Deflection Estimation in Hydraulically Actuated Systems Using 3D Flexible Multibody Simulation and DNNs
JooFlux: Hijacking Java 7 InvokeDynamic To Support Live Code Modifications
Gradient flow for deep equilibrium single-index models
A Holistic Approach to Information Distribution in Ad Hoc Networks
Reasoning With a Star: A Heliophysics Dataset and Benchmark for Agentic Scientific Reasoning
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation
HGCC: Enhancing Hyperbolic Graph Convolution Networks on Heterogeneous Collaborative Graph for Recommendation
An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors
Listening to features
Lower Bounds for the Minimum Spanning Tree Cycle Intersection Problem
Broadcast Coded Slotted ALOHA for Vehicular Communications: A Finite Frame Length Analysis