yusuke1997/dblp-id-title huggingface dataset:
Towards Manipulability of Interactive Lagrangian Systems
Private Stochastic Optimization in the Presence of Outliers: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses
Concept Extraction Using Pointer-Generator Networks
Polynomial and rational convergence rates for Laplace problems on planar domains
Anakyzing the performance of Active Queue Management Algorithms
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
Constant Function Market Making, Social Welfare and Maximal Extractable Value
GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation
Echo: Simulating Distributed Training At Scale
Faster Clustering via Preprocessing
Domain Generalization: A Tale of Two ERMs
SenseNet: Deep Learning based Wideband spectrum sensing and modulation classification network
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection
Classifying Convergence Complexity of Nash Equilibria in Graphical Games Using Distributed Computing Theory
Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric
A First Order Meta Stackelberg Method for Robust Federated Learning
Wireless Sensor/Actuator Network Design for Mobile Control Applications
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
On Merits of Faster-than-Nyquist Signaling in the Finite Blocklength Regime
Can we learn better with hard samples?
Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency
VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMs
Ghostcrafting AI: Under the Rug of Platform Labor
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations
An algorithm to assign musical prime commas to every prime number to allow construction of a complete notation for frequencies in free Just Intonation
The ERA of FOLE: Foundation
Concurrent Timed Port Automata
On Synthetic Texture Datasets: Challenges, Creation, and Curation
The Impact of Countdown Clocks on Subway Ridership in New York City
Evo* 2023 - Late-Breaking Abstracts Volume
Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-playing Games
Constrained Online Recursive Source Separation Framework for Real-time Electrophysiological Signal Processing
Exploring Deep and Recurrent Architectures for Optimal Control
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition
Human Mood Detection For Human Computer Interaction
Patient-specific modelling, simulation and real time processing for respiratory diseases
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
Average-case complexity versus approximate simulation of commuting quantum computations
Valida ISA Spec, version 1.0: A zk-Optimized Instruction Set Architecture
Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding
Predicting the fatigue life of asphalt concrete using neural networks
Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier
Controllable diffusion-based generation for multi-channel biological data
Milking CowMask for Semi-Supervised Image Classification
State-Dependent Z Channel
FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
Variations on Kak's Three Stage Quantum Cryptography Protocol
DeC and ADER: Similarities, Differences and an Unified Framework
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
MEP: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolation
A Non-ideal Linear Operation Model for a Li-ion Battery
ATP: A holistic attention integrated approach to enhance ABSA
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression
3D Gaussian Splat Vulnerabilities
Diffusion and Contagion in Networks with Heterogeneous Agents and Homophily
Self-Dual codes from $(-1, 1)$-matrices of skew symmetric type
Background Denoising for Ptychography via Wigner Distribution Deconvolution
Agile Modeling: Image Classification with Domain Experts in the Loop
Trace Recovery from Stochastically Known Logs
Evaluating Large Language Models for Radiology Natural Language Processing
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
The Optimal Size of an Epistemic Congress
Deep FBSDE Neural Networks for Solving Incompressible Navier-Stokes Equation and Cahn-Hilliard Equation
Discrete Total Variation of the Normal Vector Field as Shape Prior with Applications in Geometric Inverse Problems
Robust Timing Synchronization for AC-OFDM Based Optical Wireless Communications
CloudPass - a passport system based on Cloud Computing and Near Field Communication
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance
Model-based Hardware Design for FPGAs using Folding Transformations based on Subcircuits
Reframing Tax Law Entailment as Analogical Reasoning
Mechanism Design with Outliers and Predictions
Personalized Human-Swarm Interaction through Hand Motion
Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs
Optimizing Anchor-based Detectors for Autonomous Driving Scenes
Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series
Data-Centric and Heterogeneity-Adaptive Sequence Parallelism for Efficient LLM Training
Generalized Public Key Transformations with Side Information
Deep Multiple Instance Learning for Airplane Detection in High Resolution Imagery
Health Behavior Change in HCI: Trends, Patterns, and Opportunities
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
Both Text and Images Leaked! A Systematic Analysis of Multimodal LLM Data Contamination
Multimodal Sense-Informed Prediction of 3D Human Motions
The second Feng-Rao number for codes coming from inductive semigroups
E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training
Zero-Calibration Device-free Localization for the IoT based on Participatory Sensing
Psy-Copilot: Visual Chain of Thought for Counseling
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
Diversifying Seeds and Audience in Social Influence Maximization
A practical approach to evaluating the adversarial distance for machine learning classifiers
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
Just-in-time Quantization with Processing-In-Memory for Efficient ML Training
Denoising of structured random processes
Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Noninvasive Wiretaps
Unpaired Translation of Point Clouds for Modeling Detector Response
Rare Text Semantics Were Always There in Your Diffusion Transformer
Sleep-deprived Fatigue Pattern Analysis using Large-Scale Selfies from Social Med
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
Deep learning-based detection of morphological features associated with hypoxia in H&E breast cancer whole slide images
Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally
Geometric Learning with Positively Decomposable Kernels
Learning to Rank Query Recommendations by Semantic Similarities
Personal Data Protection in AI-Native 6G Systems
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Mixing time of quantum Gibbs sampling for random sparse Hamiltonians
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data
On the Performance of Irregular Repetition Slotted ALOHA with an Age of Information Threshold
Observability is Sufficient for the Design of Globally Exponentially Convergent State Observers for State-affine Nonlinear Systems
Large language models for folktale type automation based on motifs: Cinderella case study
Semantic Prompting with Image-Token for Continual Learning
Hard Nominal Example-aware Template Mutual Matching for Industrial Anomaly Detection
On mesh restrictions to satisfy comparison principles, maximum principles, and the non-negative constraint: Recent developments and new results
Temporal Action Selection for Action Chunking
CLOT Norm Minimization for Continuous Hands-off Control
Detecting Logical Relation In Contract Clauses
Uncovering the nutritional landscape of food
Checkpoint Ensembles: Ensemble Methods from a Single Training Process
Never Gonna Give You Up: Exploring Deprecated NULL Ciphers in Commercial VoWiFi Deployments
Wait For It: Identifying "On-Hold" Self-Admitted Technical Debt
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning
Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis
Überprüfung von Integritätsbedingungen in Deduktiven Datenbanken
A Dynamic Web Page Prediction Model Based on Access Patterns to Offer Better User Latency
Conformal Prediction for Time-series Forecasting with Change Points
ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning
ES2Net: An Efficient Spectral-Spatial Network for Hyperspectral Image Change Detection
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection
RPKI: Not Perfect But Good Enough
Enhanced Trustworthy and High-Quality Information Retrieval System for Web Search Engines
Rethinking Exploration for Sample-Efficient Policy Learning
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks
Innovative Integration of Visual Foundation Model with a Robotic Arm on a Mobile Platform
Glowing in the Dark Uncovering IPv6 Address Discovery and Scanning Strategies in the Wild
Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters
Certified Hardware Requirements Undermine Digital Currency
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Optimal Hyperparameters and Structure Setting of Multi-Objective Robust CNN Systems via Generalized Taguchi Method and Objective Vector Norm
conLSH: Context based Locality Sensitive Hashing for Mapping of noisy SMRT Reads
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization
Simulating single-coil MRI from the responses of multiple coils
Using Multiple Instance Learning for Explainable Solar Flare Prediction
Balance-Based Cryptography: Physically Computing Any Boolean Function
Dirty Paper Arbitrarily Varying Channel with a State-Aware Adversary
Journey from Data Mining to Web Mining to Big Data
The association problem in wireless networks: a Policy Gradient Reinforcement Learning approach
An Attention-Based Algorithm for Gravity Adaptation Zone Calibration
Joint Sentiment/Topic Modeling on Text Data Using Boosted Restricted Boltzmann Machine
HOMI: Ultra-Fast EdgeAI platform for Event Cameras
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
Privacy Impacts of Data Encryption on the Efficiency of Digital Forensics Technology
Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Unifying back-propagation and forward-forward algorithms through model predictive control
Modelling-based experiment retrieval: A case study with gene expression clustering
Comparison of Spreadsheets with other Development Tools (limitations, solutions, workarounds and alternatives)
The Structure of the Realizations of the Causal Information Rate-Distortion Function for Markovian Sources: Realizations with Densities
Energy Efficient Cooperative Strategies for Relay-Assisted Downlink Cellular Systems Part II: Practical Design
Conceptual Organization is Revealed by Consumer Activity Patterns
How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
Experimental Methods, Health Indicators, and Diagnostic Strategies for Retired Lithium-ion Batteries: A Comprehensive Review
Joint Verification and Refinement of Language Models for Safety-Constrained Planning
Linear Index for Logarithmic Search-Time for any String under any Internal Node in Suffix Trees
Polynomial time multiplication and normal forms in free band
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents
Waveforms for the Massive MIMO Downlink: Amplifier Efficiency, Distortion and Performance
Convexity and Duality in Optimum Real-time Bidding and Related Problems
Subcarrier-Interlaced FDD for Faster-than-TDD Channel Tracking in Massive MIMO Systems
Hide and New in the Pi-Calculus
Secure Hybrid Analog and Digital Receive Beamforming Schemes for Efficient Interference Reduction
Meta-Learning with Adaptive Layerwise Metric and Subspace
DUO-TOK: Dual-Track Semantic Music Tokenizer for Vocal-Accompaniment Generation
Survivors, Complainers, and Borderliners: Upward Bias in Online Discussions of Academic Conference Reviews
Beyond the Leaderboard: Insight and Deployment Challenges to Address Research Problems
Average-case complexity of a branch-and-bound algorithm for maximum independent set, under the $\mathcal{G}(n, p)$ random model
A Historical Interaction-Enhanced Shapley Policy Gradient Algorithm for Multi-Agent Credit Assignment
Thinking Before Speaking: A Role-playing Model with Mindset
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation
Comparison of an open-hardware electroencephalography amplifier with medical grade device in brain-computer interface applications
Make the Most of Everything: Further Considerations on Disrupting Diffusion-based Customization
A Partial Order Reduction Technique for Event-driven Multi-threaded Programs
Histogram Layers for Neural Engineered Features
Social diffusion and global drift in adaptive social networks
JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos
Automated Decision-based Adversarial Attacks
Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains
GOptimaEmbed: A SmartSMS-SQLDatabaseManagementSystem for Low-Cost Microcontrollers
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
Leveraging Land Cover Priors for Isoprene Emission Super-Resolution
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing
DemoBias: An Empirical Study to Trace Demographic Biases in Vision Foundation Models
Mechanisms that play a game, not toss a coin
Tomographic Image Reconstruction using Dictionary Priors
On short-time stability notions for nonlinear systems
Mining Anonymity: Identifying Sensitive Accounts on Twitter
Improving the fact-checking performance of language models by relying on their entailment ability
AI4DiTraRe: Building the BFO-Compliant Chemotion Knowledge Graph
Mean-Field Langevin Diffusions with Density-dependent Temperature
Do-PFN: In-Context Learning for Causal Effect Estimation
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions
A novel hallucination classification framework
On Lower Bound for W(K 2n )
Interval Constraint Solving for Camera Control and Motion Planning
Dyslexia and Dysgraphia prediction: A new machine learning approach
Endoscopic navigation in the absence of CT imaging
Automated Tumor Segmentation and Brain Mapping for the Tumor Area
Unfolding Smooth Primsatoids
Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing
Edge detection of binary images using the method of masks
Liquidsoap: a High-Level Programming Language for Multimedia Streaming
On the control of abelian group codes with information group of prime order
Sobolev Regularity of Isogeometric Finite Element Spaces with Degenerate Geometry Map
Performance monitoring for multicore embedded computing systems on FPGAs
Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
Calculation of mutual information for nonlinear communication channel at large SNR
Large Language Models for Imbalanced Classification: Diversity makes the difference
Quantum Locally Testable Code with Exotic Parameters
Phase transition for finite-speed detection among moving particles
A Minimalistic Approach to Sum-Product Network Learning for Real Applications
ReelFramer: Co-creating News Reels on Social Media with Generative AI
MCAQ-YOLO: Morphological Complexity-Aware Quantization for Efficient Object Detection with Curriculum Learning
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems
A Hybrid Discontinuous Galerkin Neural Network Method for Solving Hyperbolic Conservation Laws with Temporal Progressive Learning
Lifelong Learning in Multi-Armed Bandits
Simulation-based inference via telescoping ratio estimation for trawl processes
Optimal Merging Control of an Autonomous Vehicle in Mixed Traffic: an Optimal Index Policy
Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model
Federated Two-stage Learning with Sign-based Voting
Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques
Sex is always well worth its two-fold cost
IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling
Comparison of Generative Adversarial Networks Architectures Which Reduce Mode Collapse
Experimental Demonstration of Efficient Spin-Orbit Torque Switching of an MTJ with sub-100 ns Pulses
Investigating a Conceptual Construct for Software Context
TVG: A Training-free Transition Video Generation Method with Diffusion Models
MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework
The Power of Waiting for More than One Response in Minimizing the Age-of-Information
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction
Configuration and Fabrication of Preformed Vine Robots
DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess
Fully Dynamic Approximate Maximum Matching and Minimum Vertex Cover in O(log 3 n) Worst Case Update Time
EarthOL: A Proof-of-Human-Contribution Consensus Protocol - Addressing Fundamental Challenges in Decentralized Value Assessment with Enhanced Verification and Security Mechanisms
A deep neural network for multi-species fish detection using multiple acoustic cameras
DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
Leveraging Deep Neural Network Activation Entropy to cope with Unseen Data in Speech Recognition
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives
The influence of periodic external fields in multi-agent models with language dynamics
Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling
Instrument for the assessment of road user automated vehicle acceptance: A pyramid of user needs of automated vehicles
Assessing the impact of cyber attacks manipulating distributed energy resources on power system operation
Problems of Non-equivalent Words in Technical Translation
Detecting Conspiracy Theory Against COVID-19 Vaccines
Learning Terrain-Specialized Policies for Adaptive Locomotion in Challenging Environments
Two Roads to Koopman Operator Theory for Control: Infinite Input Sequences and Operator Families
Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models
Heat flux for semi-local machine-learning potentials
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Integrated utilization of equations and small dataset in the Koopman operator: applications to forward and inverse Problems
BlockSim-Net: A Network Based Blockchain Simulator
Agents for self-driving laboratories applied to quantum computing
A novel integrated industrial approach with cobots in the age of industry 4.0 through conversational interaction and computer vision
From Search To Sampling: Generative Models For Robust Algorithmic Recourse
Deep Tracking: Visual Tracking Using Deep Convolutional Networks
Certification of Semantic Perturbations via Randomized Smoothing
Random Access for Massive Machine-Type Communications
A Hybrid Reduced Order Model for nonlinear LES filtering
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Distributed Derivative-free Learning Method for Stochastic Optimization over a Network with Sparse Activity
Learning Theory of Distribution Regression with Neural Networks
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent
Wireless communications with user equipment mounted Reconfigurable Intelligent Surfaces
DrawingBench: Evaluating Spatial Reasoning and UI Interaction Capabilities of Large Language Models through Mouse-Based Drawing Tasks
An Initial Study of Bird's-Eye View Generation for Autonomous Vehicles using Cross-View Transformers
Confidential Computing for Privacy-Preserving Contact Tracing
DHash: Enabling Dynamic and Efficient Hash Tables
Multi-lingual Dialogue Act Recognition with Deep Learning Methods
Compositional Concept Generalization with Variational Quantum Circuits
Hierarchical Vision-Language Planning for Multi-Step Humanoid Manipulation
Anno-incomplete Multi-dataset Detection
A Collaborative Approach to Angel and Venture Capital Investment Recommendations
On best approximation by multivariate ridge functions with applications to generalized translation networks
On the curse of dimensionality for Normalizing Flows
HeylandCircle: A Computational Framework for the Geometric Reconstruction of the Heyland Circle Diagram
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets