yusuke1997/dblp-id-title huggingface dataset:
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment
Confidence-based Event-centric Online Video Question Answering on a Newly Constructed ATBS Dataset
Playing with words: Do people exploit loaded language to affect others' decisions for their own benefit?
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks
Convolutional Geometric Matrix Completion
A Metric for the Activeness of a Distributed Object Oriented Component Library
Intelligent Scientific Literature Explorer using Machine Learning (ISLE)
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Variational Iteration Method for Image Restoration
An Evaluation of Cultural Value Alignment in LLM
Reasoning about embedded dependencies using inclusion dependencies
Aggressive Racecar Drifting Control Using Onboard Cameras and Inertial Measurement Unit
DSReg: Using Distant Supervision as a Regularizer
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
A Unified Approach to Analysis and Design of Denoising Markov Models
Learned holographic light transport
Construct a Sentence with Multiple Specified Words
Bluish Veil Detection and Lesion Classification using Custom Deep Learnable Layers with Explainable Artificial Intelligence (XAI)
Object Detection in Aerial Imagery
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
Unsupervised Collaborative Metric Learning with Mixed-Scale Groups for General Object Retrieval
MatrixFlow: System-Accelerator co-design for high-performance transformer applications
Communication Architecture for Autonomous Power-to-X Platforms: Enhancing Inspection and Operation With Legged Robots and 5G
HYDRA: A Hybrid Heuristic-Guided Deep Representation Architecture for Predicting Latent Zero-Day Vulnerabilities in Patched Functions
Cross-Attention is Not Always Needed: Dynamic Cross-Attention for Audio-Visual Dimensional Emotion Recognition
Anvaya: An Algorithm and Case-Study on Improving the Goodness of Software Process Models generated by Mining Event-Log Data in Issue Tracking System
Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration
The Chonkers Algorithm: Content-Defined Chunking with Provable Strict Guarantees on Size and Locality
GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs
Learning-assisted Theorem Proving with Millions of Lemmas
SOFA: An Extensible Logical Optimizer for UDF-heavy Dataflows
Redundant Loads: A Software Inefficiency Indicator
Understanding and Optimizing Multi-Stage AI Inference Pipelines
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
Uni-Mol2: Exploring Molecular Pretraining Model at Scale
Legally-Informed Explainable AI
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks
Reliable Low-Delay Routing In Space with Routing-Oblivious LEO Satellites
The Correct Classic Generalized Least-Squares Estimator of an Unknown Constant Mean of Randon Field
Inference of Intrinsic Rewards and Fairness in Multi-Agent Systems
Adversarial Attacks on ML Defense Models Competition
Lung nodules segmentation from CT with DeepHealth toolkit
On the number of autotopies of an n-ary qusigroup of order 4
The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading
SkipSR: Faster Super Resolution with Token Skipping
It's Hard to HAC with Average Linkage!
Scheduling Sensors for Guaranteed Sparse Coverage
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks
The Dynamics of Software Composition Analysis
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Cost-Sensitive Random Pair Encoding for Multi-Label Classification
Semantic robust parsing for noun extraction from natural language queries
Formal Semantic Annotations for Models Interoperability in a PLM environment
Solar Active Region Magnetogram Image Dataset for Studies of Space Weather
On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
Scaling up the Banded Matrix Factorization Mechanism for Differentially Private ML
P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising
Digital Collections of Examples in Mathematical Sciences
Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes
Real-Time Streaming Anomaly Detection in Dynamic Graphs
PAD: Personalized Alignment at Decoding-Time
Corona Graph as a Small-world Model
A novel failure indexing approach with run-time values of program variables
How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework
Trustworthy XAI and Application
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI
Physics-informed approach for exploratory Hamilton-Jacobi-Bellman equations via policy iterations
A New Achievable Rate Region for the Discrete Memoryless Multiple-Access Channel with Feedback
Minimal solutions of the rational interpolation problem
Relearning ensemble selection based on new generated features
A preprocessing-based planning framework for utilizing contacts in high-precision insertion tasks
Rethinking Language Models as Symbolic Knowledge Graphs
Computation of the optimal error exponent function for fixed-length lossy source coding in discrete memoryless sources
A convergent hybrid neural network and finite difference scheme for Stokes interface problems
The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data
A novel method for identifying the deep neural network model with the Serial Number
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks
Information-theoretic lower bounds for distributed function computation
Parameter-Efficient Augment Plugin for Class-Incremental Learning
Choose Settings Carefully: Comparing Action Unit detection at Different Settings Using a Large-Scale Dataset
Searching a Tree with Signals: Routing Mobile Sensors for Targets Emitting Radiation, Chemicals or Scents
HyperQube: A QBF-Based Bounded Model Checker for Hyperproperties
Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Models
Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry
Unencrypted Flying Objects: Security Lessons from University Small Satellite Developers and Their Code
Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies
Granular feedback merits sophisticated aggregation
Privacy-Preserving Healthcare Data in IoT: A Synergistic Approach with Deep Learning and Blockchain
Exploiting Syntactic Structure for Natural Language Modeling
A Distributed Algorithm for Quality-of-Service Provisioning in Multihop Networks
Towards Accurate Human Motion Prediction via Iterative Refinement
The tree machine
Differential Dynamic Programming Neural Optimizer
AntPivot: Livestream Highlight Detection via Hierarchical Attention Mechanism
Identifying Chemicals Through Dimensionality Reduction
Winning Solution of the AIcrowd SBB Flatland Challenge 2019-2020
Stigmergy-based collision-avoidance algorithm for self-organising swarms
Utilising Large Language Models for Generating Effective Counter Arguments to Anti-Vaccine Tweets
COVID-19 in differential diagnosis of online symptom assessments
LSHTC: A Benchmark for Large-Scale Text Classification
Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution
DUET: Agentic Design Understanding via Experimentation and Testing
Citation Counts and Evaluation of Researchers in the Internet Age
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
Steer-by-prior Editing of Symbolic Music Loops
Efficient Sampling for Better OSN Data Provisioning
The regularization continuation method for optimization problems with nonlinear equality constraints
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution
Strictly Associative and Unital $\infty$-Categories as a Generalized Algebraic Theory
Self-Supervised Spatio-Temporal Representation Learning Using Variable Playback Speed Prediction
Large-scale Simple Question Answering with Memory Networks
DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning
Women upskilling or reskilling to an ICT career: A systematic review of drivers and barriers
Decentralized Recommender Systems
Efficient Top-k s-Biplexes Search over Large Bipartite Graphs
Modeling and simulation of nuclear architecture reorganization process using a phase field approach
Reachability Analysis of Linear System
Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
MeciFace: Mechanomyography and Inertial Fusion based Glasses for Edge Real-Time Recognition of Facial and Eating Activities
Fast arithmetic for faster integer multiplication
Lexicographic Multi-Objective Stochastic Shortest Path with Mixed Max-Sum Costs
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies
A Forgetting-based Approach to Merging Knowledge Bases
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis
High Fidelity Image Synthesis With Deep VAEs In Latent Space
Document-level Event-based Extraction Using Generative Template-filling Transformers
Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition
Using Deep Learning to Automate the Detection of Flaws in Nuclear Fuel Channel UT Scans
Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
Robust Bayesian Classification Using an Optimistic Score Ratio
Random noise increases Kolmogorov complexity and Hausdorff dimension
PRINCIPIA: a Decentralized Peer-Review Ecosystem
Forward-Forward Training of an Optical Neural Network
Mapping Farmed Landscapes from Remote Sensing
Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data
A Framework for Transmission Design for Active RIS-Aided Communication with Partial CSI
Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMs
Recent advances in interpretable machine learning using structure-based protein representations
What Does It Take? Developing a Smartphone App that Motivates Older Adults to be Physically Active
The geometric error is less than the pollution error when solving the high-frequency Helmholtz equation with high-order FEM on curved domains
The 2-divisibility of divisors on K3 surfaces in characteristic 2
Feature Based Potential Field for Low-level Active Visual Navigation
Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics
Radiance Field Gradient Scaling for Unbiased Near-Camera Training
Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal
Numerical upscaling of perturbed diffusion problems
A note on the sample complexity of the Er-SpUD algorithm by Spielman, Wang and Wright for exact recovery of sparsely used dictionaries
Block tensors and symmetric embeddings
An Investigation on Speaker Augmentation for End-to-End Speaker Extraction
On Levenberg-Marquardt-Kaczmarz iterative methods for solving systems of nonlinear ill-posed equations
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
Another Simple but Faster Method for 2D Line Clipping
Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation
Five-Tiered Route Planner for Multi-AUV Accessing Fixed Nodes in Uncertain Ocean Environments
Uncertainty-Aware Dual-Student Knowledge Distillation for Efficient Image Classification
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection
Pixel-Wise Recognition for Holistic Surgical Scene Understanding
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems
New Approaches with Chord in Efficient P2P Grid Resource Discovery
Training RL Agents for Multi-Objective Network Defense Tasks
Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties
Developing Creative AI to Generate Sculptural Objects
Analysis of self-equilibrated networks through cellular modeling
Improved Algorithm for the Isogeny Problem for Ordinary Elliptic Curves
The power of thinning in balanced allocation
Matrix sparsification and the sparse null space problem
Enhanced DeepLab Based Nerve Segmentation with Optimized Tuning
Neural Wavetable: a playable wavetable synthesizer using neural networks
Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty
Automatically Installing and Deploying Tools for Conducting Systematic Reviews in ReLiS
Who Will Win It? An In-game Win Probability Model for Football
Design of optical neural networks with component imprecisions
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning
Shattering and Compressing Networks for Centrality Analysis
The Multiple Zeta Value Data Mine
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
Off-Policy Exploitability-Evaluation and Equilibrium-Learning in Two-Player Zero-Sum Markov Games
Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key Errors
Joint Actuator-sensor Design for Stochastic Linear Systems
Structure-Aware Fill-in-the-Middle Pretraining for Code
Efficient Energy Harvesting in Wireless Sensor Networks of Smart Grid
Feature-Informed Data Assimilation - Definitions and Illustrative Examples
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number
A Novel Dimension Reduction Scheme for Intrusion Detection Systems in IoT Environments
A Waterfilling Algorithm for Multiple Access Point Connectivity with Constrained Backhaul Network
ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
Distributed Learning with Infinitely Many Hypotheses
P2MFDS: A Privacy-Preserving Multimodal Fall Detection System for Elderly People in Bathroom Environments
ReLCP: Scalable Complementarity-Based Collision Resolution for Smooth Rigid Bodies
Joint Wireless and Computing Resources Allocation in Multi-Cell MEC
Verification of Quantitative Temporal Properties in RealTime-DEVS
Aligning Dialogue Agents with Global Feedback via Large Language Model Reward Decomposition
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
Another Diversity-Promoting Objective Function for Neural Dialogue Generation
Contrast transfer functions help quantify neural network out-of-distribution generalization in HRTEM
Deterministic approximate counting of colorings with fewer than 2Δ colors via absence of zeros
LapSurgie: Humanoid Robots Performing Surgery via Teleoperated Handheld Laparoscopy
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks
pomdp_py: A Framework to Build and Solve POMDP Problems
Mixed Integer Linear Programming for Active Contact Selection in Deep Brain Stimulation
Seeing the Intangible: Surveying Automatic High-Level Visual Understanding from Still Images
The Cost of Undisturbed Landscapes
Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
Spatial Knowledge Graph-Guided Multimodal Synthesis
Community detection in censored hypergraph
Privacy Assured Recovery of Compressively Sensed ECG signals
Shape it Up! Restoring LLM Safety during Finetuning
The Isogeometric Fast Fourier-based Diagonalization method
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling
Performance of Queueing Models for MISO Content-Centric Networks
A Deductive Verification Framework For Higher Order Programs
Authorisation and access control architecture as a framework for data and privacy protection
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment
Higher-order clustering in networks
Reduced-Rank Multi-objective Policy Learning and Optimization
Language-Guided Diffusion Model for Visual Grounding
Multimodal Laryngoscopic Video Analysis for Assisted Diagnosis of Vocal Cord Paralysis
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes
SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks
Stationary and Dynamic Reference Frame Comparison Based Microgrid Application
Polarity-Aware Probing for Quantifying Latent Alignment in Language Models
Response Component Analysis for Sea State Estimation Using Artificial Neural Networks and Vessel Response Spectral Data
FedGraph: A Research Library and Benchmark for Federated Graph Learning
Limits of bimorphic lenses
A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts
A Rotation-Invariant Embedded Platform for (Neural) Cellular Automata
Classification of Functioning, Disability, and Health: ICF-CY Self Care (SCADI Dataset) Using Predictive Analytics
Identification of Small Objects in Satellite Image Benchmarks
A Functional Architecture for 6G Special Purpose Industrial IoT Networks
Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data
Few-shot Learning: A Survey
Social Network Analysis of Corruption Structures: Adjacency Matrices Supporting the Visualization and Quantification of Layeredness
On Regularization and Robustness of Deep Neural Networks
Guiding the Sequential Experiments in Autonomous Experimentation Platforms through EI-based Bayesian Optimization and Bayesian Model Averaging
A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible
Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection
Analysis and discretization of the Ohta-Kawasaki equation with forcing and degenerate mobility
UavNetSim-v1: A Python-based Simulation Platform for UAV Communication Networks
A Closeness Centrality-based Circuit Partitioner for Quantum Simulations
STAGE: Storyboard-Anchored Generation for Cinematic Multi-shot Narrative
Enhancing Spatio-Temporal Zero-shot Action Recognition with Language-driven Description Attributes
Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization
Do Large Language Models know what humans know?
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem
β 3 -IRT: A New Item Response Model and its Applications
A Framework for Large Scale Synthetic Graph Dataset Generation
Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
Internalizing Representation Independence with Univalence
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022
A Preliminary Study for a Quantum-like Robot Perception Model
Optimal Kinematic Design of a Robotic Lizard using Four-Bar and Five-Bar Mechanisms
Evolutionary Foundation for Heterogeneity in Risk Aversion
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels
Deadlock Freedom for Asynchronous and Cyclic Process Networks
FlashResearch: Real-time Agent Orchestration for Efficient Deep Research
Uplink Performance of Large Optimum-Combining Antenna Arrays in Poisson-Cell Networks
Slice sampling tensor completion for model order reduction of parametric dynamical systems
What do we teach to engineering students: embedded ethics, morality, and politics
Deep collocation methods: A framework for solving PDEs using neural networks with error control
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud
Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation
Subspace-Constrained Continuous Methane Leak Monitoring and Optimal Sensor Placement
Visual symbolic mechanisms: Emergent symbol processing in vision language models
BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization
GraphFormers: GNN-nested Language Models for Linked Text Representation
AsyncHZP: Hierarchical ZeRO Parallelism with Asynchronous Scheduling for Scalable LLM Training
Industrial Steel Slag Flow Data Loading Method for Deep Learning Applications
A Study of the Impact of the Contention Window on the Performance of IEEE 802.11bd Networks with Channel Bonding
Parallel Exploration of Directed Acyclic Graphs using the Actor Model
Study of Cluster-Based Routing Based on Machine Learning for UAV Networks in 6G
Artificial-Noise-Aided Message Authentication Codes with Information-Theoretic Security
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss
Two Classes of Broadcast Channels With Side-Information: Capacity Outer Bounds
Do you precondition on the left or on the right?
Brant-2: Foundation Model for Brain Signals
Comparison of Bucket Sort and RADIX Sort
Machine Unlearning for Responsible and Adaptive AI in Education
NMS Strikes Back
AI/ML for 5G and Beyond Cybersecurity
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data
Qualitative graph limit theory. Cantor Dynamical Systems and Constant-Time Distributed Algorithms
Graph-Enhanced Model-Free Reinforcement Learning Agents for Efficient Power Grid Topological Control
Simulator-in-the-loop state estimation for vehicle dynamics control: theory and experiments
Behavioral Sensing and Intervention Paradigm: A Review of Closed-Loop Approaches for Ingestion Health
Novel method for handling Ethereum attack
Multi-Valued Neural Networks I A Multi-Valued Associative Memory
Free Form Medical Visual Question Answering in Radiology
Fail better: What formalized math can teach us about learning
Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression
EvoCut : A new Generalization of Albert-Barabási Model for Evolution of Complex Networks
Quantum Representations of Sound: from mechanical waves to quantum circuits
Same Same But Different: Preventing Refactoring Attacks on Software Plagiarism Detection
Online Vector Scheduling and Generalized Load Balancing
SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting