yusuke1997/dblp-id-title huggingface dataset:
Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
Capillary Rise - A Computational Benchmark for Wetting Processes
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views
Exploration of Cryptocurrency Mining-Specific GPUs in AI Applications: A Case Study of CMP 170HX
Dynamic Streaming Spectral Sparsification in Nearly Linear Time and Space
DySpec: Faster Speculative Decoding with Dynamic Token Tree Structure
Collaborative Decoding of Interleaved Reed-Solomon Codes using Gaussian Elimination
User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications
Interdependence in active mobility adoption: Joint modelling and motivational spill-over in walking, cycling and bike-sharing
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach
Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
A review on development of eco-friendly filters in Nepal for use in cigarettes and masks and Air Pollution Analysis with Machine Learning and SHAP Interpretability
Inclusive Education with AI: Supporting Special Needs and Tackling Language Barriers
The Role of Reference Points in Machine-Learned Atomistic Simulation Models
COVID-19 Detection on Chest X-Ray Images: A comparison of CNN architectures and ensembles
Downlink Coverage and Rate Analysis of an Aerial User in Integrated Aerial and Terrestrial Networks
Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments?
Lateral Control of a Convoy of Autonomous and Connected Vehicles with Limited Preview Information
Evaluating neural network explanation methods using hybrid documents and morphological prediction
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
HOLMES: to Detect Adversarial Examples with Multiple Detectors
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection
Spherical harmonic transform on heterogeneous architectures using hybrid programming
Attention Fusion Networks: Combining Behavior and E-mail Content to Improve Customer Support
Dual link failure survivability with recovery time constraint: A Parallel cross connection backup route recovery strategy
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
Timbre Space Representation of a Subtractive Synthesizer
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
Artificial Intelligence-Based Triaging of Cutaneous Melanocytic Lesions
A Multi-view Perspective of Self-supervised Learning
Training-and-prompt-free General Painterly Harmonization Using Image-wise Attention Sharing
Kategorisasi dokumen web secara otomatis berdasarkan folksonomy menggunakan multinomial naive Bayes classifier
Simulation of Emergency Evacuation in Large Scale Metropolitan Railway Systems for Urban Resilience
New relations and separations of conjectures about incompleteness in the finite domain
SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
WAFFLE: Multi-Modal Model for Automated Front-End Development
Creative Telescoping
Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark
SynPO: Synergizing Descriptiveness and Preference Optimization for Video Detailed Captioning
GSTAR: Gaussian Surface Tracking and Reconstruction
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning
An empirical study of spatial and transpatial social networks using Bluetooth and Facebook
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
PSDNorm: Test-Time Temporal Normalization for Deep Learning on EEG Signals
Learning Differentiable Reachability Maps for Optimization-based Humanoid Motion Generation
An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks
Error Analysis and Correction for Weighted A*'s Suboptimality (Extended Version)
Approximation of Random Evolution Equations
Explaining Object Detectors via Collective Contribution of Pixels
An array of microresonators as a Photonic Extreme Learning Machine
SceneTracker: Long-term Scene Flow Estimation Network
Bielik v3 Small: Technical Report
A linearly implicit structure-preserving scheme for the Camassa-Holm equation based on multiple scalar auxiliary variables approach
6G-enabled Edge AI for Metaverse: Challenges, Methods, and Future Research Directions
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
Detection of Generalized Synchronization using Echo State Networks
DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
Heterogeneous Sheaf Neural Networks
Back to Bits: Extending Shannon's communication performance framework to computing
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache
Toward Relative Positional Encoding in Spiking Transformers
"When and Where?": Behavior Dominant Location Forecasting with Micro-blog Streams
Policy Optimization in RLHF: The Impact of Out-of-preference Data
Fair Cuts, Approximate Isolating Cuts, and Approximate Gomory-Hu Trees in Near-Linear Time
Deep Neural Network with l2-norm Unit for Brain Lesions Detection
Mimicking Networks Parameterized by Connectivity
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection
Nucleus: A Pilot Project
How to measure things
Improving Compiler Bug Isolation by Leveraging Large Language Models
A smooth basis for atomistic machine learning
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study
Transmission Planning for Climate-impacted Renewable Energy Grid: Data Preparation, Model Improvement, and Evaluation
Learning Single-Index Models with Shallow Neural Networks
An Epistemic Approach to the Formal Specification of Statistical Machine Learning
Sensitivity of sparse codes to image distortions
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT
DiffG-RL: Leveraging Difference between State and Common Sense
Adaptive Testing for Segmenting Watermarked Texts From Language Models
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks
Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling
What is a monoid?
Prototype Discovery using Quality-Diversity
Hierarchical model-based policy optimization: from actions to action sequences and back
Deep Reinforcement Learning in Financial Markets
Uncertainty Averse Pushing with Model Predictive Path Integral Control
NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
Handling of Past and Future with Phenesthe+
Confidence Estimation via Sequential Likelihood Mixing
A feasible algorithm for typing in Elementary Affine Logic
Learning latent causal relationships in multiple time series
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer
Anomaly Detection based on Compressed Data: an Information Theoretic Characterization
Realistic Model Selection for Weakly Supervised Object Localization
Finite dimensional approximation to fractional stochastic integro-differential equations with non-instantaneous impulses
Comparative Analysis of Transfer Learning Models for Breast Cancer Classification
Bayesian Clustering of Shapes of Curves
Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
A View of How Language Models Will Transform Law
Knowledge-based Recurrent Attentive Neural Network for Traffic Sign Detection
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
Real-time Bandwidth Estimation from Offline Expert Demonstrations
Active Hypothesis Testing for Quickest Anomaly Detection
AI Annotated Recommendations in an Efficient Visual Learning Environment with Emphasis on YouTube (AI-EVL)
A Secure Data Enclave and Analytics Platform for Social Scientists
Conversational Search - A Report from Dagstuhl Seminar 19461
Avoider robot design to dim the fire with dt basic mini system
Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning
Experimental symmetric private information retrieval with measurement-device-independent quantum network
Nonlinear Collaborative Scheme for Deep Neural Networks
Robust Learning of Discrete Distributions from Batches
Multi-Agent LLM Committees for Autonomous Software Beta Testing
MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration
A Stable Minutia Descriptor based on Gabor Wavelet and Linear Discriminant Analysis
Convex Relaxations for Pose Graph Optimization with Outliers
SmartCourse: A Contextual AI-Powered Course Advising System for Undergraduates
An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data
Model Order Reduction for the 1D Boltzmann-BGK Equation: Identifying Intrinsic Variables Using Neural Networks
Not to Overfit or Underfit? A Study of Domain Generalization in Question Answering
Matrix completion based on Gaussian belief propagation
The curse of random quantum data
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network
Machine learning for subgroup discovery under treatment effect
Topology combined machine learning for consonant recognition
Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search
When Experts Disagree: Characterizing Annotator Variability for Vessel Segmentation in DSA Images
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding
Optimal Control Computation via Evolution Partial Differential Equation with Arbitrary Definite Conditions
Learning (Predictive) Risk Scores in the Presence of Censoring due to Interventions
Online Search With a Hint
DNN-Powered MLOps Pipeline Optimization for Large Language Models: A Framework for Automated Deployment and Resource Management
System of Computer Modeling and Features of their use in the Educational Process of General Secondary Education
Semantic-aware DropSplat: Adaptive Pruning of Redundant Gaussians for 3D Aerial-View Segmentation
Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent
CONSENSUS Project: Identifying publicly acceptable policy implementations
Aggregated Load and Generation Equivalent Circuit Models with Semi-Empirical Data Fitting
A Deep Learning Approach to Probabilistic Forecasting of Weather
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning
SynMatch: Rethinking Consistency in Medical Image Segmentation with Sparse Annotations
CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity
Machine Learning Models Disclosure from Trusted Research Environments (TRE), Challenges and Opportunities
Robust Multi-agent Communication via Multi-view Message Certification
Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition
Efficient Update of Redundancy Matrices for Truss and Frame Structures
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
Building Healthcare - Patient Relationship with CRM 2.0: Lesson Learnt from Prita Mulyasari's Case
Uncertainty Estimation in Cancer Survival Prediction
DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
Unsupervised speech enhancement with diffusion-based generative models
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation
Class-Wise Principal Component Analysis for hyperspectral image feature extraction
Risk of Transfer Learning and its Applications in Finance
Global License Plate Dataset
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization
Adaptive and Robust Watermark for Generative Tabular Data
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations
QoS-Driven Job Scheduling: Multi-Tier Dependency Considerations
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
Intelligence Education made in Europe
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
Co-evolutionary dynamics in social networks: A case study of Twitter
Relational Graph Convolutional Networks: A Closer Look
Sound Safeguarding for Acoustic Measurement Using Any Sounds: Tools and Applications
LCG-1 Deployment and usage experience
Predicting the flow field in a U-bend with deep neural networks
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
Testing k-binomial equivalence
Bibliometric Networks
Crypto-Nets: Neural Networks over Encrypted Data
Virtual Observatory: From Concept to Implementation
Isotropically Random Orthogonal Matrices: Performance of LASSO and Minimum Conic Singular Values
Measurement-based/Model-less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids
Regularization of Soft Actor-Critic Algorithms with Automatic Temperature Adjustment
Low-Dimensionality of Noise-Free RSS and its Application in Distributed Massive MIMO
Natural Language Requirements Testability Measurement Based on Requirement Smells
Throughput Maximization for Multiuser Communications with Flexible-Sector 6DMA
Signal Recovery on Algebraic Varieties Using Linear Samples
Robot Localization and Mapping Final Report - Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services
THCHS-30 : A Free Chinese Speech Corpus
Latent Space Representation for Shape Analysis and Learning
Mixture of Tokens: Efficient LLMs through Cross-Example Aggregation
Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions
Meta-learning Representations for Learning from Multiple Annotators
Characterizations of the Existence of Partial and Total One-Way Permutations
Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models
An ensemble learning approach for software semantic clone detection
Semantic segmentation of SEM images of lower bainitic and tempered martensitic steels
Exploring the Risks and Challenges of National Electronic Identity (NeID) System
Short Duration Traffic Flow Prediction Using Kalman Filtering
On the Fair Comparison of Optimization Algorithms in Different Machines
Fuzzy Simulations and Bisimulations between Fuzzy Automata
Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities
Information Security Management in High Quality IS Journals: A Review and Research Agenda
Internet Performance in the 2022 Conflict in Ukraine: An Asymmetric Analysis
Visual Reasoning Evaluation of Grok, Deepseek Janus, Gemini, Qwen, Mistral, and ChatGPT
Comparison of On-Orbit Manual Attitude Control Methods for Non-Docking Spacecraft Through Virtual Reality Simulation
Crowdfunding for Equitable EV Charging Infrastructure
Construction of PAC Codes with List-Search and Path-Splitting Critical Sets
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
Improving Image co-segmentation via Deep Metric Learning
Security-as-a-Function for IDS/IPS in Softwarized Network and Applications to 5G Network Systems
Visualizing the genealogy of video game specifications of video game genres - through a case study of the raising up game genre
Passivation and Cooperative Control of Equilibrium-Independent Passivity-Short Systems
Efficient Query Answering over Conceptual Schemas of Relational Databases : Technical Report
Decentralized Ability-Aware Adaptive Control for Multi-robot Collaborative Manipulation
On a nonlinear Schr{ö}dinger equation for nucleons in one space dimension
Modeling Electric Vehicle Car-Following Behavior: Classical vs Machine Learning Approach
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences
Secure network code over one-hop relay network
PoliTok-DE: A Multimodal Dataset of Political TikToks and Deletions From Germany
Fusing Narrative Semantics for Financial Volatility Forecasting
Similarity Function Tracking using Pairwise Comparisons
Scalable adaptive algorithms for next-generation multiphase simulations
Cryptographically verifiable anonymous voting using pan-european e-IDs
Developing Theoretical Foundations for Runtime Enforcement
Scale Up Analysis of Inductively Heated Metamaterial Reactors
Nyquist-Sampling and Degrees of Freedom of Electromagnetic Fields
Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
EPOCH: Enabling Preemption Operation for Context Saving in Heterogeneous FPGA Systems
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models
A Semidefinite Approach to Information Design in Non-atomic Routing Games
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications
Aggregating Credences into Beliefs: Agenda Conditions for Impossibility Results
Web Search Result Clustering based on Cuckoo Search and Consensus Clustering
Multi-task Regularization Based on Infrequent Classes for Audio Captioning
A Perspective on Future Research Directions in Information Theory
Random-resistor-random-temperature KLJN key exchange
The Capacity of Wireless Channels: A Physical Approach
musif: a Python package for symbolic music feature extraction
Learning High Order Feature Interactions with Fine Control Kernels
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements
Physics-informed State-space Neural Networks for Transport Phenomena
Efficient Distributed Learning in Stochastic Non-cooperative Games without Information Exchange
Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning
Collaborative Deterministic-Diffusion Model for Probabilistic Urban Spatiotemporal Prediction
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation
TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation
Research as Resistance: Recognizing and Reconsidering HCI's Role in Technology Hype Cycles
The dimensional reduction method for solving a nonlinear inverse heat conduction problem with limited boundary data
How Do Multilingual Models Remember? Investigating Multilingual Factual Recall Mechanisms
Secure Classification With Augmented Features
Neural Risk-sensitive Satisficing in Contextual Bandits
IoT based Smart Water Quality Prediction for Biofloc Aquaculture
Accuracy on In-Domain Samples Matters When Building Out-of-Domain detectors: A Reply to Marek et al. (2021)
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Finetuning a Kalaallisut-English machine translation system using web-crawled data
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
Effect of backdoor attacks over the complexity of the latent space distribution
Maximum-Quality Tree Construction for Deadline-Constrained Aggregation in WSNs
Lockout: Sparse Regularization of Neural Networks
3D Path Following and L1 Adaptive Control for Underwater Vehicles
DISRetrieval: Harnessing Discourse Structure for Long Document Retrieval
Quadratic Approximation Manifold for Mitigating the Kolmogorov Barrier in Nonlinear Projection-Based Model Order Reduction
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
Information Signaling: A Counter-Intuitive Defense Against Password Cracking
Piecewise: Flexible piecewise functions for fast integral transforms in Julia
Iterated Elimination of Weakly Dominated Strategies in Well-Founded Games
Domain-informed graph neural networks: a quantum chemistry case study
Prediction with a Short Memory
A fourth-order compact solver for fractional-in-time fourth-order diffusion equations
GPU-Accelerated 3D Polygon Visibility Volumes for Synergistic Perception and Navigation
A Bayesian Network Classifier that Combines a Finite Mixture Model and a Naive Bayes Model
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
IUPC: Identification and Unification of Process Constraints
Quantum Zero-Error Algorithms Cannot be Composed
Lazy Heuristic Search for Solving POMDPs with Expensive-to-Compute Belief Transitions
An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions
User-level DSM System for Modern High-Performance Interconnection Networks
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling
On the Inertia of the Asynchronous Circuits
Evaluating Link Prediction Methods
Accelerated Graph Learning from Smooth Signals
A Comprehensive System Architecture using Field Programmable Gate Arrays Technology, Dijkstra's Algorithm, and Edge Computing for Emergency Response in Smart Cities
Designing Explanations for Group Recommender Systems
Multi-resolution Physics-Aware Recurrent Convolutional Neural Network for Complex Flows
iShape: A First Step Towards Irregular Shape Instance Segmentation
Multi-view data capture using edge-synchronised mobiles
Improving Collaborative Filtering Recommendation via Graph Learning
Efficient learning of bosonic Gaussian unitaries
PLATONT: Learning a Platonic Representation for Unified Network Tomography
Algebraic Complexity and Neurovariety of Linear Convolutional Networks
RSL19BD at DBDC4: Ensemble of Decision Tree-based and LSTM-based Models
Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment
Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
HexTiles and Semantic Icons for MAUP-Aware Multivariate Geospatial Visualizations
Satellite and Mobile Phone Data Reveal How Violence Affects Seasonal Migration in Afghanistan
Ratio-Preserving Half-Cylindrical Warps for Natural Image Stitching
Agent Guide: A Simple Agent Behavioral Watermarking Framework
On Verifying the Consistency of Remote Untrusted Services
Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition
A Design for an Early Quantum Network
Grand Challenge: Optimized Stage Processing for Anomaly Detection on Numerical Data Streams
Characterization of Acoustic Losses in Interdigitated VHF to mmWave Piezoelectric M/NEMS Resonators
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models
Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence