yusuke1997/dblp-id-title huggingface dataset:
A general learning system based on neuron bursting and tonic firing
Accelerated, Parallel and Proximal Coordinate Descent
VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching
Learning k-Inductive Control Barrier Certificates for Unknown Nonlinear Dynamics Beyond Polynomials
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning
Palindromic Richness
COAST: Constraints and Streams for Task and Motion Planning
Virtual Axle Detector based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Formalization of p-adic L-functions in Lean 3
KF metamodel formalization
Quantum Kernel Principal Components Analysis for Compact Readout of Chemiresistive Sensor Arrays
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework
Evaluating Synthetic Activations composed of SAE Latents in GPT-2
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model
Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations
Learn a Prior for RHEA for Better Online Planning
Potential Penetrative Pass (P3)
TopoLa: a novel embedding framework for understanding complex networks
Fair Inference for Discrete Latent Variable Models
Distributed Safe Navigation of Multi-Agent Systems using Control Barrier Function-Based Optimal Controllers
Optimal spectral initializers impact on phase retrieval phase transitions - an RDT view
Implementation of Ternary Weights with Resistive RAM Using a Single Sense Operation per Synapse
Random greedy triangle-packing beyond the 7/4 barrier
Incentive and stability in the Rock-Paper-Scissors game: an experimental investigation
Variance Reduced Stochastic Gradient Descent with Sufficient Decrease
Decentralized Parallel Algorithm for Training Generative Adversarial Nets
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling
An enhanced statistical feature fusion approach using an improved distance evaluation algorithm and weighted K-nearest neighbor for bearing fault diagnosis
Detecting Kissing Scenes in a Database of Hollywood Films
Learning Modified Indicator Functions for Surface Reconstruction
P2Mark: Plug-and-play Parameter-intrinsic Watermarking for Neural Speech Generation
Product Evaluation In Elliptical Helical Pipe Bending
Local training and enrichment based on a residual localization strategy
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation
Inductive Models for Artificial Intelligence Systems are Insufficient without Good Explanations
Thriving in a Pandemic: Lessons Learned from a Resilient University Program Seen Through the CoI Lens
Expressibility in the Lambda Calculus with mu
On Constrained and k Shortest Paths
Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition
Comparative Study of Geometric and Image Based Modelling and Rendering Techniques
Adaptive Intelligent Controller for Household Cooling Systems
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements
SUNNY: a Simple and Dynamic Algorithm Portfolio for Solving CSPs
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations
SACM: SEEG-Audio Contrastive Matching for Chinese Speech Decoding
Online Learning of the Kalman Filter with Logarithmic Regret
MVG4D: Image Matrix-Based Multi-View and Motion Generation for 4D Content Creation from a Single Image
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction
A Comparative Study of Continuous Sign Language Recognition Techniques
Segmentation Loss Odyssey
Towards Repository-Level Program Verification with Large Language Models
A Projectional Ansatz to Reconstruction
Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech
Massively Parallel Computation and Sublinear-Time Algorithms for Embedded Planar Graphs
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
What Constitutes Peer Review of Data: A survey of published peer review guidelines
Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training
Towards Smart City Security: Violence and Weaponized Violence Detection using DCNN
Extracting Contact and Motion from Manipulation Videos
Causal schema induction for knowledge discovery
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation
Lippmann-Schwinger-Lanczos approach for inverse scattering problem of Schrodinger equation in the resonance frequency domain
Authentic Discrete Diffusion Model
TIE: An Autonomous and Adaptive Terrestrial-Aerial Quadrotor
Musical consonance: a review of theory and evidence on perception and preference of auditory roughness in humans and other animals
Large Language Models can Achieve Social Balance
Multi-modality Deep Restoration of Extremely Compressed Face Videos
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs
Learning from Noisy Labels with Contrastive Co-Transformer
Energy balancing through cluster head selection using K-Theorem in homogeneous wireless sensor networks
Streamlining Security Vulnerability Triage with Large Language Models
Standing Forest Coin (SFC)
Towards bandit-based prompt-tuning for in-the-wild foundation agents
Widely Linear vs. Conventional Subspace-Based Estimation of SIMO Flat-Fading Channels: Mean-Squared Error Analysis
Enabling On-device Continual Learning with Binary Neural Networks
A Linear Time Parameterized Algorithm for Node Unique Label Cover
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification
Computation of harmonic functions on higher genus surfaces
Deep Learning Models for Digital Pathology
Socially Driven News Recommendation
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity
The Impact of Timestamp Granularity in Optimistic Concurrency Control
More code, less validation: Risk factors for over-reliance on AI coding tools among scientists
Generalized Deepfake Attribution
Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models
Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination
A Practical Python API for Querying AFLOWLIB
Do Large Language Model Benchmarks Test Reliability?
Colorful Triangle Counting and a MapReduce Implementation
An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs
On Verbalized Confidence Scores for LLMs
Exploring Memorization and Copyright Violation in Frontier LLMs: A Study of the New York Times v. OpenAI 2023 Lawsuit
Predicting gender of Brazilian names using deep learning
Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics (Full Version)
Planning under risk and uncertainty based on Prospect-theoretic models
Self-Critique and Refinement for Faithful Natural Language Explanations
Revisiting zero-rate bounds on the reliability function of discrete memoryless channels
Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation
Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis
EDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification
Gröbner Bases Native to Term-ordered Commutative Algebras, with Application to the Hodge Algebra of Minors
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
Who Wrote this? How Smart Replies Impact Language and Agency in the Workplace
Advances in Machine Learning: Where Can Quantum Techniques Help?
HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing
VAPOR: a Value-Centric Blockchain that is Scale-out, Decentralized, and Flexible by Design
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
Print2Volume: Generating Synthetic OCT-based 3D Fingerprint Volume from 2D Fingerprint Image
Representation Learning for Visual-Relational Knowledge Graphs
Label-consistent clustering for evolving data
The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
Offline Detection of Misspelled Handwritten Words by Convolving Recognition Model Features with Text Labels
Beyond the limitation of a single query: Train your LLM for query expansion with Reinforcement Learning
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Too Noisy to Collude? Algorithmic Collusion Under Laplacian Noise
Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
Model-free Representation Learning and Exploration in Low-rank MDPs
A High-efficient Battery Charging System for Electric Vehicle
A simplified version of the quantum OTOC (2) problem
PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics
Computing Optimal Tolls in Routing Games without Knowing the Latency Functions
DSTEA: Dialogue State Tracking with Entity Adaptive Pre-training
Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
High Resolution Face Editing with Masked GAN Latent Code Optimization
Pessimistic Iterative Planning for Robust POMDPs
json2run: a tool for experiment design & analysis
Wasserstein-Aligned Hyperbolic Multi-View Clustering
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification
Differential Evolution with Event-Triggered Impulsive Control
A discussion about violin reduction: geometric analysis of contour lines and channel of minima
Changeable Sweep Coverage Problem
Investigating the completeness and omission roads of OpenStreetMap data in Hubei, China by comparing with Street Map and Street View
Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak
Bouncing Towers move faster than Hanoi Towers, but still require exponential time
Mechanics Informatics: A paradigm for efficiently learning constitutive models
Multi-view Geometry: Correspondences Refinement Based on Algebraic Properties
Robustness Analysis for Battery Supported Cyber-Physical Systems
FoundWright: A System to Help People Re-find Pages from Their Web-history
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
Bodily aware soft robots: integration of proprioceptive and exteroceptive sensors
Cloud Sphere: A 3D Shape Representation via Progressive Deformation
Parse-Augment-Distill: Learning Generalizable Bimanual Visuomotor Policies from Single Human Video
Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling
PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification
DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
minoHealth.ai: A Clinical Evaluation Of Deep Learning Systems For the Diagnosis of Pleural Effusion and Cardiomegaly In Ghana, Vietnam and the United States of America
Traq: Estimating the Quantum Cost of Classical Programs
Delay-Doppler Channel Estimation with Almost Linear Complexity
Probabilistic Quality of Service aware Service Selection
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
Approximated Structured Prediction for Learning Large Scale Graphical Models
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
Explainability in Human-Agent Systems
NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
Quantum Neural Networks for a Supply Chain Logistics Application
Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure
Learning Representation and Synergy Invariances: A Povable Framework for Generalized Multimodal Face Anti-Spoofing
ACM with Overlapping Partitions: Implementation and Periodicity Analysis
Towards Comprehensive Information-theoretic Multi-view Learning
Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation
Results on cubic bent and weakly regular bent p -ary functions leading to a class of cubic ternary non-weakly regular bent functions
Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
A Survey on Few-Shot Class-Incremental Learning
NeSyFOLD: A System for Generating Logic-based Explanations from Convolutional Neural Networks
Vector Signal Reconstruction Sparse and Parametric Approach of direction of arrival Using Single Vector Hydrophone
Metric Graph Kernels via the Tropical Torelli Map
Proceedings of the 4th International Conference on Collaborative Innovation Networks COINs13, Santiago de Chile, August 11-13, 2013
CLEARS - An Education and Research Tool for Computational Semantics
Rapid and Safe Trajectory Planning over Diverse Scenes through Diffusion Composition
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
A Theory of Protocol Composition
Model-blind Video Denoising Via Frame-to-frame Training
Impact of HPO on AutoML Forecasting Ensembles
Stochastic Functional Gradient Path Planning in Occupancy Maps
Solving bitvectors with MCSAT: explanations from bits and pieces (long version)
Plugin Speech Enhancement: A Universal Speech Enhancement Framework Inspired by Dynamic Neural Network
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities
A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
Convergence analysis of a spectral-Galerkin-type search extension method for finding multiple solutions to semilinear problems
18 Million Links in Commit Messages: Purpose, Evolution, and Decay
Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning
Content Providers Volunteering to Pay Network Providers: Better than Neutrality?
Nonlinear Fourier Transform of Truncated Multi-Soliton Pulses
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series
CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention
Monotonic Representation of Numeric Properties in Language Models
Gleason Score Prediction using Deep Learning in Tissue Microarray Image
Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective
Prompt Framework for Role-playing: Generation and Evaluation
Robust Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization
A Surrogate-Informed Framework for Sparse Grid Interpolation
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
Secure Hypersphere Range Query on Encrypted Data
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems
Information Retrieval of Jumbled Words
Emu3.5: Native Multimodal Models are World Learners
Joint Rain Detection and Removal via Iterative Region Dependent Multi-Task Learning
Supply Restoration in Power Distribution Systems - A Case Study in Integrating Model-Based Diagnosis and Repair Planning
Deep Learning Prototype Domains for Person Re-Identification
MDP Geometry, Normalization and Value Free Solvers
Full-reference image quality assessment-based B-mode ultrasound image similarity measure
Making the most of electronic journals
Generative Multi-Target Cross-Domain Recommendation
Proceedings of the IX International Workshop on Locational Analysis and Related Problems
On the Coupling of Hamilton's Principle and Thermodynamic Extremal Principles
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
Towards the Evolution of Novel Vertical-Axis Wind Turbines
Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance
Securing MIMO Wiretap Channel with Learning-Based Friendly Jamming under Imperfect CSI
Strong Low Degree Hardness for Stable Local Optima in Spin Glasses
Deep learning in medical image registration: introduction and survey
Towards Data-centric Graph Machine Learning: Review and Outlook
Green Telecom Metrics in Perspective
Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding
Urysohn Forest for Aleatoric Uncertainty Quantification
Opportunistic Multiuser Two-Way Amplify-and-Forward Relaying with a Multi Antenna Relay
Detection and severity classification of COVID-19 in CT images using deep learning
Alternating Iteratively Reweighted Minimization Algorithms for Low-Rank Matrix Factorization
Multi-view shaker detection: Insights from a noise-immune influence analysis Perspective
testRNN: Coverage-guided Testing on Recurrent Neural Networks
AfriStereo: A Culturally Grounded Dataset for Evaluating Stereotypical Bias in Large Language Models
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference
ICE-SEARCH: A Language Model-Driven Feature Selection Approach
A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability
Enabling Input on Tiny/Headless Systems Using Morse Code
Gradient modelling of memristive systems
Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage
On Dress Codes with Flowers
On the Origins of Objects by Means of Careful Selection
Active Canny: Edge Detection and Recovery with Open Active Contour Models
Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning
A Novel Channel Coding for Progressive Transmission of Medical Images
Decomposed Phase Analysis using Convex Inner Approximations: a Methodology for DER Hosting Capacity in Distribution Systems
Arithmetic circuit tensor networks, multivariable function representation, and high-dimensional integration
Truth and Trust: Fake News Detection via Biosignals
Quantum Information Entropies for the ℓ-state Pöschl-Teller-type potential
AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation
A Systematic Review on the Potential of AI and ChatGPT for Parental Support and Child Well-Being
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Modified Covariance Intersection for Data Fusion in Distributed Non-homogeneous Monitoring Systems Network
Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction
Cooperation in Small Groups - an Optimal Transport Approach
Task-Specific Adaptation with Restricted Model Access
The conservation of information, towards an axiomatized modular modeling approach to congestion control
A Study of the Fundamental Parameters of Particle Swarm Optimizers
On the Capacity-Achieving Input of the Gaussian Channel with Polar Quantization
Chance Constrained Policy Optimization for Process Control and Optimization
A Robotic Medical Clown (RMC): Forming a Design Space Model
Prompt Orchestration Markup Language
Demand Engineering: An new approach to SDN-based traffic management for IP and MPLS networks
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization
Three meta-questions on infinite-domain Constraint Satisfaction Problems
Max-Margin Stacking and Sparse Regularization for Linear Classifier Combination and Selection
A formal proof of modal completeness for provability logic
Experimental and numerical study of the effect of polymer flooding on sand production in poorly consolidated porous media
Synthesizing Grid Data with Cyber Resilience and Privacy Guarantees
Nonextensive Generalizations of the Jensen-Shannon Divergence
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning
VAInpaint: Zero-Shot Video-Audio inpainting framework with LLMs-driven Module
Fighting Accounting Fraud Through Forensic Data Analytics
Towards Cross-Modal Error Detection with Tables and Images
Inferring Manifolds From Noisy Data Using Gaussian Processes
Vehicle Localization in GPS-Denied Scenarios Using Arc-Length-Based Map Matching
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension
Asynchronous Truncated Multigrid-reduction-in-time (AT-MGRIT)
RAnGE: Reachability Analysis for Guaranteed Ergodicity
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes
Auditing Digital Platforms for Discrimination in Economic Opportunity Advertising
Attention Heads of Large Language Models: A Survey
ARES: Accurate, Autonomous, Near Real-time 3D Reconstruction using Drones
Outage behavior of slow fading channels with power control using noisy quantized CSIT
The Fertile Steppe: Computability Logic and the decidability of one of its fragments
Large Alphabet Source Coding using Independent Component Analysis
Experimental Low-speed Positioning System with VecTwin Rudder for Automatic Docking (Berthing)
Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task
Computing homotopy classes for diagrams
Moiré Attack (MA): A New Potential Risk of Screen Photos
Approximate Gaussian Elimination for Laplacians: Fast, Sparse, and Simple
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal
Detecting network communities beyond assortativity-related attributes
Quick Bypass Mechanism of Zero-Shot Diffusion-Based Image Restoration
QuantUM: Quantitative Safety Analysis of UML Models
Causal network discovery by iterative conditioning: comparison of algorithms
A discount strategy in word-of-mouth marketing and its assessment
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
A Categorical Foundation of Rough Sets
Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control
Optimal Data Detection in Large MIMO
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
Stabilizing Queuing Networks with Model Data-Independent Control
Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges
On the Hulls of Group Codes