Neuro-SymbolicAIin2024:ASystematicReview
Background: The field of Artificial Intelligence has undergone cyclical periods of growth and declin
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ANovelPathologyFoundationModelbyMayoClinic,Charité,andAignostics
Recent advances in digital pathology have demonstrated the effectiveness of foundation models across
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TimeRL:EfficientDeepReinforcementLearningwithPolyhedralDependenceGraphs
Modern deep learning (DL) workloads increasingly use complex deep reinforcement learning (DRL) algor
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On-linePolicyImprovementusingMonte-CarloSearch
We present a Monte-Carlo simulation algorithm for real-time policy improvement of an adaptive contro
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TimeDP:LearningtoGenerateMulti-DomainTimeSerieswithDomainPrompts
Time series generation models are crucial for applications like data augmentation and privacy preser
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BRATI:BidirectionalRecurrentAttentionforTime-SeriesImputation
Missing data in time-series analysis poses significant challenges, affecting the reliability of down
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MechanisticunderstandingandvalidationoflargeAImodelswithSemanticLens
Unlike human-engineered systems such as aeroplanes, where each component's role and dependencies are
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Theglobalconsensusontheriskmanagementofautonomousdriving
Every maneuver of a vehicle redistributes risks between road users. While human drivers do this intu
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IntegratingExplainableAIforEffectiveMalwareDetectioninEncryptedNetworkTraffic
Encrypted network communication ensures confidentiality, integrity, and privacy between endpoints. H
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LargePhysicsModels:TowardsacollaborativeapproachwithLargeLanguageModelsandFoundationModels
This paper explores ideas and provides a potential roadmap for the development and evaluation of phy
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DevelopingaFoundationofVectorSymbolicArchitecturesUsingCategoryTheory
At the risk of overstating the case, connectionist approaches to machine learning, i.e. neural netwo
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Search-o1:AgenticSearch-EnhancedLargeReasoningModels
Large reasoning models (LRMs) like OpenAI-o1 have demonstrated impressive long stepwise reasoning ca
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OnCorrigibilityandAlignmentinMultiAgentGames
Corrigibility of autonomous agents is an under explored part of system design, with previous work fo
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StreamAligner:EfficientSentence-LevelAlignmentviaDistributionInduction
The rapid advancement of large language models (LLMs) has led to significant improvements in their c
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TheBakersandMillersGamewithRestrictedLocations
We study strategic location choice by customers and sellers, termed the Bakers and Millers Game in t
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AnCoGen:Analysis,ControlandGenerationofSpeechwithaMaskedAutoencoder
This article introduces AnCoGen, a novel method that leverages a masked autoencoder to unify the ana
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Theexplanationdialogues:anexpertfocusstudytounderstandrequirementstowardsexplanationswithintheGDPR
Explainable AI (XAI) provides methods to understand non-interpretable machine learning models. Howev
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Off-PolicyEvaluationandCounterfactualMethodsinDynamicAuctionEnvironments
Counterfactual estimators are critical for learning and refining policies using logged data, a proce
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TowardsBalancedContinualMulti-ModalLearninginHumanPoseEstimation
3D human pose estimation (3D HPE) has emerged as a prominent research topic, particularly in the rea
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EnhancingPlagiarismDetectioninMarathiwithaWeightedEnsembleofTF-IDFandBERTEmbeddingsforLow-ResourceLanguageProcessing
Plagiarism involves using another person's work or concepts without proper attribution, presenting t
