All papers published in past two days:
Category: Artificial Intelligence
#ArtificialIntelligence
๐ Interactive Classification for Deep Learning Interpretation
๐ฅ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
๐ PDF
๐ Self-Imitation Learning
๐ฅ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
๐ PDF
๐ Learning in POMDPs with Monte Carlo Tree Search
๐ฅ Sammie Katt, Frans A. Oliehoek, Christopher Amato
๐ PDF
๐ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
๐ฅ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
๐ PDF
๐ Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
๐ฅ Frank G. Glavin, Michael G. Madden
๐ PDF
๐ Improved Density-Based Spatio--Textual Clustering on Social Media
๐ฅ Minh D. Nguyen, Won-Yong Shin
๐ PDF
๐ Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
๐ฅ Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
๐ PDF
๐ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
๐ฅ Lina M. Rojas-Barahona, Iรฑigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
๐ PDF
๐ Selfless Sequential Learning
๐ฅ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
๐ PDF
๐ Configurable Markov Decision Processes
๐ฅ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
๐ PDF
๐ Hierarchical interpretations for neural network predictions
๐ฅ Chandan Singh, W. James Murdoch, Bin Yu
๐ PDF
AI Python & arXiv Channel
Category: Artificial Intelligence
#ArtificialIntelligence
๐ Interactive Classification for Deep Learning Interpretation
๐ฅ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
๐ PDF
๐ Self-Imitation Learning
๐ฅ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
๐ PDF
๐ Learning in POMDPs with Monte Carlo Tree Search
๐ฅ Sammie Katt, Frans A. Oliehoek, Christopher Amato
๐ PDF
๐ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
๐ฅ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
๐ PDF
๐ Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
๐ฅ Frank G. Glavin, Michael G. Madden
๐ PDF
๐ Improved Density-Based Spatio--Textual Clustering on Social Media
๐ฅ Minh D. Nguyen, Won-Yong Shin
๐ PDF
๐ Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
๐ฅ Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
๐ PDF
๐ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
๐ฅ Lina M. Rojas-Barahona, Iรฑigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
๐ PDF
๐ Selfless Sequential Learning
๐ฅ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
๐ PDF
๐ Configurable Markov Decision Processes
๐ฅ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
๐ PDF
๐ Hierarchical interpretations for neural network predictions
๐ฅ Chandan Singh, W. James Murdoch, Bin Yu
๐ PDF
AI Python & arXiv Channel
Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence
๐ Interactive Classification for Deep Learning Interpretation
๐ฅ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
๐ PDF
๐ Self-Imitation Learning
๐ฅ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
๐ PDF
๐ Learning in POMDPs with Monte Carlo Tree Search
๐ฅ Sammie Katt, Frans A. Oliehoek, Christopher Amato
๐ PDF
๐ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
๐ฅ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
๐ PDF
๐ Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
๐ฅ Frank G. Glavin, Michael G. Madden
๐ PDF
๐ Improved Density-Based Spatio--Textual Clustering on Social Media
๐ฅ Minh D. Nguyen, Won-Yong Shin
๐ PDF
๐ Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
๐ฅ Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
๐ PDF
๐ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
๐ฅ Lina M. Rojas-Barahona, Iรฑigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
๐ PDF
๐ Selfless Sequential Learning
๐ฅ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
๐ PDF
๐ Configurable Markov Decision Processes
๐ฅ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
๐ PDF
๐ Hierarchical interpretations for neural network predictions
๐ฅ Chandan Singh, W. James Murdoch, Bin Yu
๐ PDF
๐ Shape Features Extraction Using a Partial Differential Equation
๐ฅ Takayuki Yamada
๐ PDF
๐ Apuntes de Redes Neuronales Artificiales
๐ฅ J. C. Cuevas-Tello
๐ PDF
๐ Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
๐ฅ Aleksandr I. Panov, Aleksey Skrynnik
๐ PDF
๐ What About Applied Fairness?
๐ฅ Jared Sylvester, Edward Raff
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Artificial Intelligence
#ArtificialIntelligence
๐ Interactive Classification for Deep Learning Interpretation
๐ฅ Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
๐ PDF
๐ Self-Imitation Learning
๐ฅ Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee
๐ PDF
๐ Learning in POMDPs with Monte Carlo Tree Search
๐ฅ Sammie Katt, Frans A. Oliehoek, Christopher Amato
๐ PDF
๐ Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
๐ฅ Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson
๐ PDF
๐ Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
๐ฅ Frank G. Glavin, Michael G. Madden
๐ PDF
๐ Improved Density-Based Spatio--Textual Clustering on Social Media
๐ฅ Minh D. Nguyen, Won-Yong Shin
๐ PDF
๐ Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
๐ฅ Fabian B. Fuchs, Oliver Groth, Adam R. Kosoriek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
๐ PDF
๐ Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
๐ฅ Lina M. Rojas-Barahona, Iรฑigo Casanueva, Pawel Budzianowski, Stefan Ultes, Milica Gasic, Bo-Hsiang Tseng, Steve Young
๐ PDF
๐ Selfless Sequential Learning
๐ฅ Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars
๐ PDF
๐ Configurable Markov Decision Processes
๐ฅ Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
๐ PDF
๐ Hierarchical interpretations for neural network predictions
๐ฅ Chandan Singh, W. James Murdoch, Bin Yu
๐ PDF
๐ Shape Features Extraction Using a Partial Differential Equation
๐ฅ Takayuki Yamada
๐ PDF
๐ Apuntes de Redes Neuronales Artificiales
๐ฅ J. C. Cuevas-Tello
๐ PDF
๐ Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
๐ฅ Aleksandr I. Panov, Aleksey Skrynnik
๐ PDF
๐ What About Applied Fairness?
๐ฅ Jared Sylvester, Edward Raff
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence
๐ Learning Instance Segmentation by Interaction
๐ฅ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
๐ PDF
๐ Interpretable Discovery in Large Image Data Sets
๐ฅ Kiri L. Wagstaff, Jake Lee
๐ PDF
๐ Log Skeletons: A Classification Approach to Process Discovery
๐ฅ H. M. W. Verbeek, R. Medeiros de Carvalho
๐ PDF
๐ Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
๐ฅ Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
๐ PDF
๐ Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
๐ฅ Jose M. Peรฑa
๐ PDF
๐ A New Approach for Resource Scheduling with Deep Reinforcement Learning
๐ฅ Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
๐ PDF
๐ Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
๐ฅ Martin Biehl, Christian Guckelsberger, Christoph Salge, Simรณn C. Smith, Daniel Polani
๐ PDF
๐ Learning Cognitive Models using Neural Networks
๐ฅ Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
๐ PDF
๐ Towards a Grounded Dialog Model for Explainable Artificial Intelligence
๐ฅ Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
๐ PDF
๐ Flexible Neural Representation for Physics Prediction
๐ฅ Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
๐ PDF
๐ A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
๐ฅ Amy Zhang, Nicolas Ballas, Joelle Pineau
๐ PDF
๐ RUDDER: Return Decomposition for Delayed Rewards
๐ฅ Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
๐ PDF
๐ Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
๐ฅ Jan Matas, Stephen James, Andrew J. Davison
๐ PDF
๐ Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
๐ฅ Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
๐ PDF
๐ Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
๐ฅ En Li, Zhi Zhou, Xu Chen
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Artificial Intelligence
#ArtificialIntelligence
๐ Learning Instance Segmentation by Interaction
๐ฅ Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik
๐ PDF
๐ Interpretable Discovery in Large Image Data Sets
๐ฅ Kiri L. Wagstaff, Jake Lee
๐ PDF
๐ Log Skeletons: A Classification Approach to Process Discovery
๐ฅ H. M. W. Verbeek, R. Medeiros de Carvalho
๐ PDF
๐ Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
๐ฅ Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed
๐ PDF
๐ Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances
๐ฅ Jose M. Peรฑa
๐ PDF
๐ A New Approach for Resource Scheduling with Deep Reinforcement Learning
๐ฅ Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian
๐ PDF
๐ Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
๐ฅ Martin Biehl, Christian Guckelsberger, Christoph Salge, Simรณn C. Smith, Daniel Polani
๐ PDF
๐ Learning Cognitive Models using Neural Networks
๐ฅ Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger
๐ PDF
๐ Towards a Grounded Dialog Model for Explainable Artificial Intelligence
๐ฅ Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
๐ PDF
๐ Flexible Neural Representation for Physics Prediction
๐ฅ Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins
๐ PDF
๐ A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
๐ฅ Amy Zhang, Nicolas Ballas, Joelle Pineau
๐ PDF
๐ RUDDER: Return Decomposition for Delayed Rewards
๐ฅ Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
๐ PDF
๐ Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
๐ฅ Jan Matas, Stephen James, Andrew J. Davison
๐ PDF
๐ Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
๐ฅ Aboul Ella Hassanien, Moataz Kilany, Essam H. Houssein
๐ PDF
๐ Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
๐ฅ En Li, Zhi Zhou, Xu Chen
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence
๐ The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
๐ฅ Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
๐ PDF
๐ Learning Social Conventions in Markov Games
๐ฅ Adam Lerer, Alexander Peysakhovich
๐ PDF
๐ Adversarial Exploration Strategy for Self-Supervised Imitation Learning
๐ฅ Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee
๐ PDF
๐ Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting
๐ฅ Thomas Lukasiewicz, Enrico Malizia
๐ PDF
๐ Independence of Sources in Social Networks
๐ฅ Manel Chehibi, Mouna Chebbah, Arnaud Martin
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Artificial Intelligence
#ArtificialIntelligence
๐ The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games
๐ฅ Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr
๐ PDF
๐ Learning Social Conventions in Markov Games
๐ฅ Adam Lerer, Alexander Peysakhovich
๐ PDF
๐ Adversarial Exploration Strategy for Self-Supervised Imitation Learning
๐ฅ Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee
๐ PDF
๐ Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting
๐ฅ Thomas Lukasiewicz, Enrico Malizia
๐ PDF
๐ Independence of Sources in Social Networks
๐ฅ Manel Chehibi, Mouna Chebbah, Arnaud Martin
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence
๐ Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
๐ฅ Dan Hendrycks, Thomas G. Dietterich
๐ PDF
๐ Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
๐ฅ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
๐ PDF
๐ Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
๐ฅ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
๐ PDF
๐ Encoding Spatial Relations from Natural Language
๐ฅ Tiago Ramalho, Tomรกลก Kociskรฝ, Frederic Besse, S. M. Ali Eslami, Gรกbor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
๐ PDF
๐ MIXGAN: Learning Concepts from Different Domains for Mixture Generation
๐ฅ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Artificial Intelligence
#ArtificialIntelligence
๐ Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
๐ฅ Dan Hendrycks, Thomas G. Dietterich
๐ PDF
๐ Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
๐ฅ Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
๐ PDF
๐ Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization
๐ฅ Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir
๐ PDF
๐ Encoding Spatial Relations from Natural Language
๐ฅ Tiago Ramalho, Tomรกลก Kociskรฝ, Frederic Besse, S. M. Ali Eslami, Gรกbor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
๐ PDF
๐ MIXGAN: Learning Concepts from Different Domains for Mixture Generation
๐ฅ Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
๐ PDF
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๐ Kernel-Based Learning for Smart Inverter Control
๐ฅ Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis
๐ PDF
๐ Is Q-learning Provably Efficient?
๐ฅ Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck, Michael I. Jordan
๐ PDF
๐ SimArch: A Multi-agent System For Human Path Simulation In Architecture Design
๐ฅ Yen-Chia Hsu
๐ PDF
๐ Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
๐ฅ Timothy Wong, Zhiyuan Luo
๐ PDF
๐ Handling Incomplete Heterogeneous Data using VAEs
๐ฅ Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
๐ PDF
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Artificial Intelligence
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๐ Kernel-Based Learning for Smart Inverter Control
๐ฅ Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis
๐ PDF
๐ Is Q-learning Provably Efficient?
๐ฅ Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck, Michael I. Jordan
๐ PDF
๐ SimArch: A Multi-agent System For Human Path Simulation In Architecture Design
๐ฅ Yen-Chia Hsu
๐ PDF
๐ Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
๐ฅ Timothy Wong, Zhiyuan Luo
๐ PDF
๐ Handling Incomplete Heterogeneous Data using VAEs
๐ฅ Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
๐ PDF
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5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence
๐ Scalable Tensor Completion with Nonconvex Regularization
๐ฅ Quanming Yao
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๐ฅ Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
๐ PDF
๐ Data Science with Vadalog: Bridging Machine Learning and Reasoning
๐ฅ Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu
๐ PDF
๐ The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
๐ฅ Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
๐ PDF
๐ Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
๐ฅ Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Artificial Intelligence
#ArtificialIntelligence
๐ Scalable Tensor Completion with Nonconvex Regularization
๐ฅ Quanming Yao
๐ PDF
๐ NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference
๐ฅ Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram
๐ PDF
๐ Data Science with Vadalog: Bridging Machine Learning and Reasoning
๐ฅ Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stephane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu
๐ PDF
๐ The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
๐ฅ Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
๐ PDF
๐ Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views
๐ฅ Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang
๐ PDF
#ArtificialIntelligence
AI Python & arXiv Channel
Forwarded from arXiv
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