yusuke1997/dblp-id-title huggingface dataset:
Sisu: Decentralized Trustless Bridge For Full Ethereum Node
Modification of GTD from Flat File Format to OLAP for Data Mining
Detecting and Counting Small Patterns in Planar Graphs in Subexponential Parameterized Time
Quantum Algorithms for Autocorrelation Spectrum
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection
Fast and slow thinking - of networks: The complementary 'elite' and 'wisdom of crowds' of amino acid, neuronal and social networks
Stable diffusion models reveal a persisting human and AI gap in visual creativity
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans
Dark Patterns in the Interaction with Cookie Banners
Indicating interdisciplinarity: A multidimensional framework to characterize Interdisciplinary Knowledge Flow (IKF)
Tracing Technique for Blaster Attack
Accelerating Vision Transformer Training via a Patch Sampling Schedule
Evaluating saliency scores in point clouds of natural environments by learning surface anomalies
EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction
Inferring Global Dynamics Using a Learning Machine
See What I Mean? Mobile Eye-Perspective Rendering for Optical See-through Head-mounted Displays
Non-conflicting no-where zero Z 2 ⨉ Z 2 flows in cubic graphs
Comparison of Forced and Unforced Rendezvous, Proximity Operations, and Docking Under Model Mismatch
Deep Learning with Partially Labeled Data for Radio Map Reconstruction
Formal Modeling and SMT-Based Parameterized Verification of Data-Aware BPMN (Extended Version)
Neural network approach to reconstructing spectral functions and complex poles of confined particles
Inferring Population Dynamics in Macaque Cortex
Generalizations of Cyclic Codes over Product Rings
From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
Neural Network Learning of Chemical Bond Representations in Spectral Indices and Features
Non-iterative domain decomposition for the Helmholtz equation using the method of difference potentials
Women Want to Learn Tech: Lessons from the Czechitas Education Project
Next Hit Predictor - Self-exciting Risk Modeling for Predicting Next Locations of Serial Crimes
Invisible Steganography via Generative Adversarial Network
FedCM: Federated Learning with Client-level Momentum
Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs
RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Social Media
The scaling of the gripper affects the action and perception in teleoperated grasping via a robot-assisted minimally invasive surgery system
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
Anomaly Detection Based on Indicator Aggregation
TSET: Token based Secure Electronic Transaction
OpenCCA: An Open Framework to Enable Arm CCA Research
First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces
The effects of anger on automated long-term-spectra based speaker-identification
SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats
Fast Almost-Surely Terminating Byzantine Agreement
Dynamic 2D Gaussians: Geometrically accurate radiance fields for dynamic objects
A robust generalizable device-agnostic deep learning model for sleep-wake determination from triaxial wrist accelerometry
nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources
Machine-Assisted Map Editing
On the Importance of Correlations in Rational Choice: A Case for Non-Nashian Game Theory
ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay
Linear Program-Based Stability Conditions for Nonlinear Autonomous Systems
A hybrid approach for cooperative output regulation with sampled compensator
Object Database Benchmarks
Scale-wise Distillation of Diffusion Models
An interpretable machine learning approach for ferroalloys consumptions
AI reconstruction of European weather from the Euro-Atlantic regimes
Surrealistic-like Image Generation with Vision-Language Models
Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts
Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System
Applying Relation Extraction and Graph Matching to Answering Multiple Choice Questions
Derivation and Numerical Simulation of a Thermodynamically Consistent Magneto Two-Phase Flow Model for Magnetic Drug Targeting
Incremental Temporal Logic Synthesis of Control Policies for Robots Interacting with Dynamic Agents
Kernel Affine Hull Machines for Differentially Private Learning
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs
Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification
Off-path Signaling Extension for General Internet Signaling Transport Protocol
Artificial Intelligence Training in Media: Addressing Technical and Ethical Challenges for Journalists and Media Professionals
Learning eating environments through scene clustering
Indoor Channel Measurements and Communications System Design at 60 GHz
Event Representation through Semantic Roles: Evaluation of Coverage
L3C-Stereo: Lossless Compression for Stereo Images
Proceedings 40th International Conference on Logic Programming, ICLP 2024, University of Texas at Dallas, Dallas Texas, USA, October 14-17 2024
A Novel Regression Loss for Non-Parametric Uncertainty Optimization
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
Fast Construction of Polar Codes
Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization
Robustness and Overcoming Brittleness of AI-Enabled Legal Micro-Directives: The Role of Autonomous Levels of AI Legal Reasoning
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
Quantum error-correcting codes: the unit-derived strategy
Differentially Private Estimation via Statistical Depth
A Categorical Representation Language and Computational System for Knowledge-Based Planning
Preventing Information Leakage with Neural Architecture Search
A Scalable Data-Driven Framework for Systematic Analysis of SEC 10-K Filings Using Large Language Models
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 2: System Level Synthesis and Architecture
Multilingual Compositional Wikidata Questions
A Formalization of Finite Group Theory
On Fusing ChatGPT and Ensemble Learning in Discon-tinuous Named Entity Recognition in Health Corpora
Which Identities Are Mobilized: Towards an automated detection of social group appeals in political texts
Posterior Model Adaptation With Updated Priors
The Kannan-Lovász-Simonovits Conjecture
How to Combat Reactive and Dynamic Jamming Attacks with Reinforcement Learning
Perceptual Hashing applied to Tor domains recognition
Learning cross space mapping via DNN using large scale click-through logs
Spoofing and Anti-Spoofing with Wax Figure Faces
Reinforcement Learning for Flow-Matching Policies
Impossibility of Local State Transformation via Hypercontractivity
LocDyn: Robust Distributed Localization for Mobile Underwater Networks
The Uneven Impact of Post-Training Quantization in Machine Translation
SECAdvisor: a Tool for Cybersecurity Planning using Economic Models
Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures
Review Based Rating Prediction
PRNet: Original Information Is All You Have
Transfer entropy for finite data
The Decision Criteria Used by Large Enterprises in South Africa for the Adoption of Cloud Computing
Continuous Compressed Sensing With a Single or Multiple Measurement Vectors
Fast Algorithm for Quasi-2D Coulomb Systems
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment
On the Feasibility of CubeSats Application Sandboxing for Space Missions
Practically implementing an LLM-supported collaborative vulnerability remediation process: a team-based approach
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback
Exploring Semantic Perturbations on Grover
Imbalanced Malware Images Classification: a CNN based Approach
Robust Gaussian Process Regression Based on Iterative Trimming
Comprehensiveness of Archives: A Modern AI-enabled Approach to Build Comprehensive Shared Cultural Heritage
Least Squares Estimation-Based Synchronous Generator Parameter Estimation Using PMU Data
Functions as proofs as processes
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees
Functional Pearl: Dependent type inference via free higher-order unification
deepTerra - AI Land Classification Made Easy
Wan-Alpha: High-Quality Text-to-Video Generation with Alpha Channel
Enhanced Multi-Resolution Analysis for Multi-Dimensional Data Utilizing Line Filtering Techniques
Consistency Analysis of Nearest Subspace Classifier
Stochastic-Adversarial Channels : Online Adversaries With Feedback Snooping
Conservative Linear Envelopes for High-Dimensional, Hamilton-Jacobi Reachability for Nonlinear Systems via the Hopf Formula
One-Bit Compressive Sensing with Partial Support
Convergence, Sticking and Escape: Stochastic Dynamics Near Critical Points in SGD
RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference
Degree-Corrected Distribution-Free Model for Community Detection in weighted networks
On the bit-complexity of sparse polynomial multiplication
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs
Compression-Based Optimizations for Out-of-Core GPU Stencil Computation
A Tree-based Approach for Detecting Redundant Business Rules in very Large Financial Datasets
Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras
Unique properties of adversarially trained linear classifiers on Gaussian data
HYPERDIRE: HYPERgeometric functions DIfferential REduction: MATHEMATICA based packages for differential reduction of generalized hypergeometric functions pFq, F1,F2,F3,F4
Time and Memory Efficient Lempel-Ziv Compression Using Suffix Arrays
Towards an Understanding of Large Language Models in Software Engineering Tasks
WAFBOOSTER: Automatic Boosting of WAF Security Against Mutated Malicious Payloads
System-Level Design Space Exploration for High-Level Synthesis under End-to-End Latency Constraints
Holographic algorithms without matchgates
Learning Video Representations from Textual Web Supervision
SmartAnnotator: An Interactive Tool for Annotating RGBD Indoor Images
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization
A Survey On Video Forgery Detection
Quadratic quantum speedup in evaluating bilinear risk functions
reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning
Measurement-Based Line-Impedance Estimation in the Absence of Phasor Measurement Units
Federated Learning and Trajectory Compression for Enhanced AIS Coverage
Social Network Conceptualization and Operationalization of Hierarchy Within Therapeutic Communities
Multidimensional Digital Filters for Point-Target Detection in Cluttered Infrared Scenes
Generating Difficult-to-Translate Texts
BongLLaMA: LLaMA for Bangla Language
DyMoDreamer: World Modeling with Dynamic Modulation
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators
Why did the Robot Cross the Road? - Learning from Multi-Modal Sensor Data for Autonomous Road Crossing
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
Villager's dilemma
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads
What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things
PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy
LeVo: High-Quality Song Generation with Multi-Preference Alignment
Quantifying layer similarity in multiplex networks: a systematic study
Constrained existence problem for weak subgame perfect equilibria with omega-regular Boolean objectives
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Asterinas: A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB
Impact of whole-body vibrations on electrovibration perception varies with target stimulus duration
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis
Optimal Equity Glidepaths in Retirement
Comments on the article "A Bayesian conjugate gradient method"
Dark Miner: Defend against undesired generation for text-to-image diffusion models
Compressible Distributions for High-dimensional Statistics
Lower-depth programmable linear optical processors
Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
Sparse Orthogonal Parameters Tuning for Continual Learning
Optimal filters on the sphere
Passive In-home Estimation of Gait Velocity From Motion Sensors
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
BinSparX: Sparsified Binary Neural Networks for Reduced Hardware Non-Idealities in Xbar Arrays
Meshfree One-Fluid Modelling of Liquid-Vapor Phase Transitions
VIRAL: Vision-grounded Integration for Reward design And Learning
A de Casteljau Algorithm for Bernstein type Polynomials based on (p, q)-integers in CAGD
SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH Matching
Learning With Errors and Extrapolated Dihedral Cosets
Numerical Bifurcation Analysis of Turing and Symmetry Broken Patterns of a Vegetation PDE Model
Realistic Evaluation of Transductive Few-Shot Learning
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores
Context-Aware Recursive Bayesian Graph Traversal in BCIs
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments
Global stability of vehicle-with-driver dynamics via Sum-of-Squares programming
Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification
Multi-agent Multi-target Path Planning in Markov Decision Processes
From Symptoms to Systems: An Expert-Guided Approach to Understanding Risks of Generative AI for Eating Disorders
Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization
A symmetric Gauss-Seidel method for the steady-state Boltzmann equation
Influence Operations in Social Networks
Parallel kinetic schemes for conservation laws, with large time steps
Mumford dendrograms
Unique coverage in Boolean models
Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees
Quantum Operation of Affective Artificial Intelligence
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Distributed Server Allocation for Content Delivery Networks
SecureTime: Secure Multicast Time Synchronization
Distributed generation of privacy preserving data with user customization
Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models
Multi-fidelity uncertainty quantification for homogenization problems in structure-property relationships from crystal plasticity finite elements
Learning Surrogate Losses
Insidious Nonetheless: How Small Effects and Hierarchical Norms Create and Maintain Gender Disparities in Organizations
Higher Order Generalization Error for First Order Discretization of Langevin Diffusion
Chain Graphs for Learning
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
Source Conditions for non-quadratic Tikhonov Regularisation
The combinatorics of LCD codes: Linear Programming bound and orthogonal matrices
Artificial magnetic conductor backed dual-mode sectoral cylindrical DRA for off-body biomedical telemetry
On Solving Floating Point SSSP Using an Integer Priority Queue
Sound Mixed-Precision Optimization with Rewriting
RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall Memory
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation
TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM
CSRAP: Enhanced Canvas Attention Scheduling for Real-Time Mission Critical Perception
Instance-Aware Representation Learning and Association for Online Multi-Person Tracking
Stability of Finite Population ALOHA with Variable Packets
Artificial Intelligence: Arguments for Catastrophic Risk
Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve
The Geometry of Machine Learning Models
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its Variance Estimate
Toward Learning Societies for Digital Aging
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models
Long Short-term Memory RNN
State of AI Ethics Report (Volume 6, February 2022)
MeSA-DRL: Memory-Enhanced Deep Reinforcement Learning for Advanced Socially Aware Robot Navigation in Crowded Environments
On the Long-term Health Care Crisis. A Possible Eradication Scenario
A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems
Generating Segment Durations in a Text-To-Speech System: A Hybrid Rule-Based/Neural Network Approach
Coded Federated Learning Framework for AI-Based Mobile Application Services with Privacy-Awareness
User Association and Bandwidth Allocation for Terrestrial and Aerial Base Stations with Backhaul Considerations
Gradient-based Planning with World Models
On Coherence-based Predictors for Dense Query Performance Prediction
Piecewise-Stationary Off-Policy Optimization
Keyphrase Based Evaluation of Automatic Text Summarization
Detecting falls with X-Factor HMMs when the training data for falls is not available
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling
A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity
Comparing and Combining Sentiment Analysis Methods
CRTS: A type system for representing clinical recommendations
The ATLAS EventIndex: a BigData catalogue for all ATLAS experiment events
Challenges in Covert Wireless Communications with Active Warden on AWGN channels
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
A quasi-optimal upper bound for induced paths in sparse graphs
Stable Roommates Problem with Random Preferences
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning
Can Intelligence Explode?
A Fuzzy Control System for Inductive Video Games
XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Yes-Net: An effective Detector Based on Global Information
Reinforcement Learning for Long-Horizon Multi-Turn Search Agents
Is Deep Image Prior in Need of a Good Education?
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Particle Swarm Optimization Based Diophantine Equation Solver
Learning robotic milling strategies based on passive variable operational space interaction control
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity
Fourth-order compact finite difference schemes for solving biharmonic equations with Dirichlet boundary conditions
From Features to Transformers: Redefining Ranking for Scalable Impact
A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks
Rediscovering the Lunar Equation of the Centre with AI Feynman via Embedded Physical Biases
BIS-Hardness for Ferromagnetic Potts in the Ordered Phase and Related Results
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction
Latent Space Alignment for Semantic Channel Equalization
Efficient Empirical Revenue Maximization in Single-Parameter Auction Environments
ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection
Some remarks on the effect of the Random Batch Method on phase transition
Degrees of Freedom of M×N SISO X Channel with Synergistic Alternating CSIT
Recommender System Expedited Quantum Control Optimization
Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks
AI2-THOR: An Interactive 3D Environment for Visual AI
From Semantics, Scene to Instance-awareness: Distilling Foundation Model for Open-vocabulary Situation Recognition
MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
Towards a Generative Approach for Emotion Detection and Reasoning
CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning
On recovery of sequences from subsequences: the case of non-periodic spectrum gaps
Social optimum in Social Groups with Give-and-Take criterion
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings
Cooperation Speeds Surfing: Use Co-Bandit!
BERT and CNN integrated Neural Collaborative Filtering for Recommender Systems
A Review of Recent Advances of Binary Neural Networks for Edge Computing
Improving Orbit Prediction Accuracy through Supervised Machine Learning
Generalised Mutual Information: a Framework for Discriminative Clustering
On URANS Congruity with Time Averaging: Analytical laws suggest improved models
Cognitive Access Policies under a Primary ARQ process via Forward-Backward Interference Cancellation
Chinese Court Simulation with LLM-Based Agent System
Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations
ReConstructor: A Scalable Constructive Visualization Tool
Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles
Towards Native AI in 6G Standardization: The Roadmap of Semantic Communication
Causality-based Cost Allocation for Peer-to-Peer Energy Trading in Distribution System
Biobjective Optimization Problems on Matroids with Binary Costs
SwitchGPT: Adapting Large Language Models for Non-Text Outputs
The Capacity of Semantic Private Information Retrieval with Colluding Servers
Probabilistic Control Barrier Functions: Safety in Probability for Discrete-Time Stochastic Systems
Intelligence as Computation
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss