#probabilisticmodeling Suchergebnisse
New work on #RiemannianManifolds and #GeometricDataAnalysis — unifying #ProbabilisticModeling with #InformationGeometry for advanced #MachineLearning. Check out my published pre-print!!! dx.doi.org/10.2139/ssrn.5…
On the core of Variational Inference by Prof. David Blei @blei_lab @DSI_Columbia #MachineLearning #ProbabilisticModeling #MLSS
Representing @HaystaxTech at the 2019 TomTom Applied ML conference in Charlottesville, VA. #ProbabilisticModeling
.@TomTomFest Applied ML conference has dedicated a whole block for Probabilistic Programming. Nice! #ProbabilisticModeling
Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning
Nikolay Malkin, finishing postdoc @Mila_Quebec with #YoshuaBengio and now Prof @EdinburghUni is looking for PhD students 24-25. Certainly one of the brightest minds these days in #ProbabilisticModeling and #MachineLearning. malkin1729.github.io
#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning
Kristian Kersting (TU Darmstadt) poses a fundamental question: What if one is not a statistician? How do we enable people who are non-statisticians to use #ProbabilisticProgramming languages at work? #ProbProg #ProbabilisticModeling
#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning
Up first @TomTomFest ML is @AustinRochford making a case for the elegance of Hamiltonian Monte Carlo. #ProbabilisticModeling
Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling
Up next at #ProbProg is @djsyclik talking about @mcmc_stan. Apparently Stan is quite popular, it's mentioned in an episode of Billions on Showtime. #ProbabilisticModeling #ProbabilisticProgramming
Limitations of deep learning by Zoubin Ghahramani. #ProbabilisticProgramming #ProbabilisticModeling #ProbProg
Zoubin Ghahramani states that AI inspired by the brain is a wrong way to think about AI. Rather we should focus on how we could use AI to augment human intelligence. #ProbabilisticModeling #ProbabilisticProgramming #ProbProg
"Despite the recent success in #probabilisticmodeling generative models trained using traditional inference techniques struggle to adapt to new distributions" "generalize across several related #distribution-s" #MetaVAE amortized #VariationalInference #ML #NonStationaryLearning
1st Keynote at #ProbProg by Zoubin Ghahramani: "Probabilistic Machine Learning: From Academia to Industrial Impact. #ProbabilisticProgramming #ProbabilisticModeling
Less Labels, More Efficiency: Charles River Analytics Develops New #MachineLearning Approach with #ProbabilisticModeling shar.es/a3awNe
Here's why we need probabilities in machine learning and #AI. #ProbabilisticModeling #ProbabilisticProgramming #ProbProg
New work on #RiemannianManifolds and #GeometricDataAnalysis — unifying #ProbabilisticModeling with #InformationGeometry for advanced #MachineLearning. Check out my published pre-print!!! dx.doi.org/10.2139/ssrn.5…
Math makes AI accountable, because math leaves a trace. Probabilistic modeling doesn’t just predict. It explains. 👉 landing.packtpub.com/mathematics-of… #ML #ProbabilisticModeling #100DaysOfMathematicsOfML #AIaccountability
#ProbabilisticModeling #GapsInGI #MachineLearningIntegration #UncertaintyModeling #ClusterQueues #DataDrivenDecisions #PredictiveAccuracy #FlexibleInterconnections #ResilientProjects #CostEfficiency
Mesh Refinement as Probabilistic Learning dl.begellhouse.com/journals/55804… #MachineLearning #ProbabilisticModeling #MeshRefinement #AIResearch
Mesh Refinement as Probabilistic Learning dl.begellhouse.com/journals/55804… #MachineLearning #ProbabilisticModeling #MeshRefinement #AIResearch
9/10 ⚠️this is a probabilistic model, not a guarantee. 💸 Memecoins are inherently risky. This is about enhancing my odds, not eliminating risk. #ProbabilisticModeling #CryptoRisk
𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗻𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 is here! Discover how probabilistic modeling, powered by ketteQ’s PolymatiQ™ solver, transforms supply chain planning. 🔗 Download now: hubs.li/Q033MFc-0 #SupplyChainInnovation #ProbabilisticModeling #ketteQ
📣 Call for reading: "Probabilistic Logic Models for the Lightning Network" by Damiano Azzolini and Fabrizio Riguzzi 👉 Find more at the following link: mdpi.com/2410-387X/6/2/… #LightningNetwork #ProbabilisticModeling
Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning
Nikolay Malkin, finishing postdoc @Mila_Quebec with #YoshuaBengio and now Prof @EdinburghUni is looking for PhD students 24-25. Certainly one of the brightest minds these days in #ProbabilisticModeling and #MachineLearning. malkin1729.github.io
Register for #ISSS2022 in Cincinnati! Among 11 tutorials: Dynamic Probabilistic Modeling with Markov Chains, with presenter Patrick Oliver of @LockheedMartin Missiles & Fire Control. system-safety.org/page/annual-co… #MarkovChain #ProbabilisticModeling #systemsafety
This paper proposes a formal framework which allows one to move between state and action labeled CTMCs while preserving strong forward, weak forward, backward and weak backward bisimulation. #formalmethods #modelchecking #probabilisticmodeling
#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning
#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning
#mdpienergies Article Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts 👉mdpi.com/1996-1073/13/1… #powersystemsresilienc #probabilisticmodeling #smartgrid @UstaUnisannio 💡More related articles: mdpi.com/journal/energi…
"Despite the recent success in #probabilisticmodeling generative models trained using traditional inference techniques struggle to adapt to new distributions" "generalize across several related #distribution-s" #MetaVAE amortized #VariationalInference #ML #NonStationaryLearning
New work on #RiemannianManifolds and #GeometricDataAnalysis — unifying #ProbabilisticModeling with #InformationGeometry for advanced #MachineLearning. Check out my published pre-print!!! dx.doi.org/10.2139/ssrn.5…
On the core of Variational Inference by Prof. David Blei @blei_lab @DSI_Columbia #MachineLearning #ProbabilisticModeling #MLSS
Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning
#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning
#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning
Nikolay Malkin, finishing postdoc @Mila_Quebec with #YoshuaBengio and now Prof @EdinburghUni is looking for PhD students 24-25. Certainly one of the brightest minds these days in #ProbabilisticModeling and #MachineLearning. malkin1729.github.io
Representing @HaystaxTech at the 2019 TomTom Applied ML conference in Charlottesville, VA. #ProbabilisticModeling
.@TomTomFest Applied ML conference has dedicated a whole block for Probabilistic Programming. Nice! #ProbabilisticModeling
A tutorial on Variational Inference for fast Bayesian estimation of complex models combined with #BigData by Tamara Broderick. #ProbabilisticModeling #ProbabilisticProgramming #DataScience #MachineLearning facebook.com/11889627195823…
Using Pomegrante to uncover who #GossipGirl is 🙈 (Dan) #DataScience #ProbabilisticModeling in #Python #DSESummit2017 github.com/jmschrei/pomeg…
Five reason why @colindcarroll is excited about the latest release of #PyMC3. Check model initialization, Visualize your models, & Sample from the prior in absence of data, etc. buff.ly/2LJRfH6 #ProbabilisticModeling #ProbabilisticProgramming #DataScience #MachineLearning
Kristian Kersting (TU Darmstadt) poses a fundamental question: What if one is not a statistician? How do we enable people who are non-statisticians to use #ProbabilisticProgramming languages at work? #ProbProg #ProbabilisticModeling
Up first @TomTomFest ML is @AustinRochford making a case for the elegance of Hamiltonian Monte Carlo. #ProbabilisticModeling
End of Day 1 at #ProbProg (buff.ly/2yejHeM) at MIT: Meet & greet, tutorials, developer meetups, & consulting sessions. Great running into old & new friends @colindcarroll @stefan_webb @willwolf_ @djsyclik #ProbabilisticProgramming #ProbabilisticModeling
Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling
#mdpienergies Article Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts 👉mdpi.com/1996-1073/13/1… #powersystemsresilienc #probabilisticmodeling #smartgrid @UstaUnisannio 💡More related articles: mdpi.com/journal/energi…
Another great talk by Prof. @ChrisBishopMSFT on model-based #MachineLearning buff.ly/2mEzmyo. Useful especially for new comers to the field of ML. Key takeaway: Build a bespoke model for your problem. #ProbabilisticModeling #ProbabilisticProgramming #DataScience
📣 Call for reading: "Probabilistic Logic Models for the Lightning Network" by Damiano Azzolini and Fabrizio Riguzzi 👉 Find more at the following link: mdpi.com/2410-387X/6/2/… #LightningNetwork #ProbabilisticModeling
Math makes AI accountable, because math leaves a trace. Probabilistic modeling doesn’t just predict. It explains. 👉 landing.packtpub.com/mathematics-of… #ML #ProbabilisticModeling #100DaysOfMathematicsOfML #AIaccountability
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