Technology and Attention Control
A talk by Tristan Harris educating us about the dangers of social media and modern apps designed to control our attention.
Posts by Tags
AI
3 Principles for Creating Safer AI
A talk by Stuart Russel discussing principles to achieve human-compatible AI:
ENODe’s: Neural networks with organic devices!
My ex-roommate Scott Keene and another colleague of mine from Brazil Gregório Faria co-authored this nice paper on ENODe’s: an organic electronic device for ...
D3
FFT
Super fast pattern search: The FFT trick
In today’s post, I would like to document an old trick in image processing sometimes referred to as “The FFT trick” for exhaustive pattern search.
NLP
Sequence Mining and Pattern Analysis in Drilling Reports with Deep Natural Language Processing
I am happy to share a short application paper in collaboration with Youli Mao that we wrote as part of our summer internship at Halliburton Inc. The obtained...
agriculture
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
arpeggeo
GeoTables.jl at JuliaEO 2024
GeoTables.jl at JuliaEO 2024.
GeoStats.jl at JuliaEO 2024
GeoStats.jl at JuliaEO 2024.
Mineral Domaining at Arpeggeo®
Demonstration of our mineral domaining workflow.
Geodata Science Hands-on at JuliaEO 2023
Hands-on session on geodata science with GeoStats.jl at JuliaEO 2023.
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
compositions
Talk at IMPA
In this talk I discuss our recent paper on geostatistical modeling of geometallurgical variables. We introduce the challenges in the mining industry and shar...
computer-vision
Talk at JuliaCon 2017
A talk I gave at JuliaCon 2017 about ImageQuilting.jl. The first slide of the presentation was cut from the video, but it will hopefully be fixed soon.
Stochastic Simulation by Image Quilting of Process-based Geological Models
I am happy to share a paper accepted in C&G for stochastic simulation of Earth models. The accepted manuscript and the open source software are both avai...
data
Geospatial Data Science with Julia
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practi...
data-visualization
deep-learning
Synthesizing videos of flume experiments with neural networks
I am happy to share a poster for a class project in which neural networks are trained to synthesize new videos of flume experiments. Results show that the co...
Sequence Mining and Pattern Analysis in Drilling Reports with Deep Natural Language Processing
I am happy to share a short application paper in collaboration with Youli Mao that we wrote as part of our summer internship at Halliburton Inc. The obtained...
extreme-value-theory
Talk at CSDMS 2018
I am happy to share a short talk at CSDMS 2018 with my current research investigations on geomorphology and extreme events. A paper is coming out soon with a...
flume-experiment
Synthesizing videos of flume experiments with neural networks
I am happy to share a poster for a class project in which neural networks are trained to synthesize new videos of flume experiments. Results show that the co...
geodata
GeoTables.jl at JuliaEO 2024
GeoTables.jl at JuliaEO 2024.
GeoStats.jl at JuliaEO 2024
GeoStats.jl at JuliaEO 2024.
Geociência de dados com GeoStats.jl
Geociência de dados com GeoStats.jl no SIG 2023 na UNICAMP.
Introduction to Julia & GeoStats.jl at Z_GIS
Introduction to Julia and GeoStats.jl at Z_GIS.
Mineral Domaining at Arpeggeo®
Demonstration of our mineral domaining workflow.
Geodata Science Hands-on at JuliaEO 2023
Hands-on session on geodata science with GeoStats.jl at JuliaEO 2023.
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
geomorphology
Talk at CSDMS 2018
I am happy to share a short talk at CSDMS 2018 with my current research investigations on geomorphology and extreme events. A paper is coming out soon with a...
geospatial
Geospatial Data Science with Julia
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practi...
geostatistical-learning
Talk at Geostats2021
Talk for the Geostats2021 conference discussing the generalization error of learning models under covariate shift and spatial correlation. We illustrate with...
Talk at JuliaCon 2021
My vision for the future of Geostatistics with GeoStats.jl.
geostatistics
Geospatial Data Science with Julia
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practi...
Talk at IMPA
In this talk I discuss our recent paper on geostatistical modeling of geometallurgical variables. We introduce the challenges in the mining industry and shar...
Hilbert-Kriging
How to interpolate objects in Hilbert spaces?
Talk at Geostats2021
Talk for the Geostats2021 conference discussing the generalization error of learning models under covariate shift and spatial correlation. We illustrate with...
GeoStats.jl FOSS4G workshop
FOSS4G is the largest international conference on geospatial open source software. I invite everyone to participate in the GeoStats.jl workshop therein.
Talk at JuliaCon 2021
My vision for the future of Geostatistics with GeoStats.jl.
Geostatistical Learning: Challenges and Opportunities
I am happy to share a paper accepted in Frontiers in Applied Mathematics and Statistics in which we introduce Geostatistical Learning. Please follow the link...
GeoStats.jl Survey 2020
The GeoStats.jl project has grown a lot this year, and we would like to learn more about its community. Please consider this quick survey that will help us f...
Variography game
What is spatial correlation? How to describe it properly?
GeoStats.jl Tutorials
Happy to announce a series of video tutorials on GeoStats.jl.
Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data
I am happy to share a paper accepted in JGR:ES in which we analyze and synthesize the morphodynamics of rivers on the Earth surface via spatial stochastic mo...
GeoStats.jl v0.10
I’m happy to release GeoStats.jl v.0.10. This release comes with some new exciting features including:
Efficient Variography with Partition Variograms
I am happy to share a paper accepted in C&G in which we generalize the concept of directional variograms to general partitions of spatial data. In the pa...
Declustered statistics
Why it is important to take spatial coordinates of samples into account when computing statistics?
GeoStats.jl IAMG workshop
I am happy to announce a workshop on GeoStats.jl at IAMG 2019. The conference will take place at Penn State College, USA from August 10 to August 16. The num...
Long time don’t post…
Long time don’t post. This is a quick update on a new repository where I will be adding GeoStats.jl tutorials. Current contents are pasted below:
Talk at CSDMS 2018
I am happy to share a short talk at CSDMS 2018 with my current research investigations on geomorphology and extreme events. A paper is coming out soon with a...
GeoStats.jl paper published in JOSS
I am happy to share a paper accepted in JOSS for the GeoStats.jl framework. It is been a real pleasure to interact with the community and to learn about the ...
My first Earthquake
January 4, 2018. It was late night at Stanford when an Earthquake gently woke me up. In this post, I would like to share how I used open data and GeoStats.jl...
Hydrostatigraphic Modelling using Multiple-point Statistics and Airbone Transient Electromagnetic Methods
I am happy to share a paper in collaboration with Adrian Barfod, in which we compare Single Normal Equation Simulation, Direct Sampling, and Image Quilting o...
Talk at JuliaCon 2017
A talk I gave at JuliaCon 2017 about ImageQuilting.jl. The first slide of the presentation was cut from the video, but it will hopefully be fixed soon.
Stochastic Simulation by Image Quilting of Process-based Geological Models
I am happy to share a paper accepted in C&G for stochastic simulation of Earth models. The accepted manuscript and the open source software are both avai...
geostats
GeoTables.jl at JuliaEO 2024
GeoTables.jl at JuliaEO 2024.
GeoStats.jl at JuliaEO 2024
GeoStats.jl at JuliaEO 2024.
Geociência de dados com GeoStats.jl
Geociência de dados com GeoStats.jl no SIG 2023 na UNICAMP.
Introduction to Julia & GeoStats.jl at Z_GIS
Introduction to Julia and GeoStats.jl at Z_GIS.
Geodata Science Hands-on at JuliaEO 2023
Hands-on session on geodata science with GeoStats.jl at JuliaEO 2023.
graph-theory
Talk at JuliaCon 2017
A talk I gave at JuliaCon 2017 about ImageQuilting.jl. The first slide of the presentation was cut from the video, but it will hopefully be fixed soon.
Stochastic Simulation by Image Quilting of Process-based Geological Models
I am happy to share a paper accepted in C&G for stochastic simulation of Earth models. The accepted manuscript and the open source software are both avai...
hydrogeology
Hydrostatigraphic Modelling using Multiple-point Statistics and Airbone Transient Electromagnetic Methods
I am happy to share a paper in collaboration with Adrian Barfod, in which we compare Single Normal Equation Simulation, Direct Sampling, and Image Quilting o...
image-processing
Super fast pattern search: The FFT trick
In today’s post, I would like to document an old trick in image processing sometimes referred to as “The FFT trick” for exhaustive pattern search.
julia
GeoTables.jl at JuliaEO 2024
GeoTables.jl at JuliaEO 2024.
GeoStats.jl at JuliaEO 2024
GeoStats.jl at JuliaEO 2024.
Geospatial Data Science with Julia
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practi...
Geociência de dados com GeoStats.jl
Geociência de dados com GeoStats.jl no SIG 2023 na UNICAMP.
Introduction to Julia & GeoStats.jl at Z_GIS
Introduction to Julia and GeoStats.jl at Z_GIS.
Mineral Domaining at Arpeggeo®
Demonstration of our mineral domaining workflow.
Geodata Science Hands-on at JuliaEO 2023
Hands-on session on geodata science with GeoStats.jl at JuliaEO 2023.
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
Hilbert-Kriging
How to interpolate objects in Hilbert spaces?
GeoStats.jl FOSS4G workshop
FOSS4G is the largest international conference on geospatial open source software. I invite everyone to participate in the GeoStats.jl workshop therein.
GeoStats.jl Survey 2020
The GeoStats.jl project has grown a lot this year, and we would like to learn more about its community. Please consider this quick survey that will help us f...
Variography game
What is spatial correlation? How to describe it properly?
GeoStats.jl Tutorials
Happy to announce a series of video tutorials on GeoStats.jl.
GeoStats.jl v0.10
I’m happy to release GeoStats.jl v.0.10. This release comes with some new exciting features including:
Declustered statistics
Why it is important to take spatial coordinates of samples into account when computing statistics?
GeoStats.jl IAMG workshop
I am happy to announce a workshop on GeoStats.jl at IAMG 2019. The conference will take place at Penn State College, USA from August 10 to August 16. The num...
Long time don’t post…
Long time don’t post. This is a quick update on a new repository where I will be adding GeoStats.jl tutorials. Current contents are pasted below:
My first Earthquake
January 4, 2018. It was late night at Stanford when an Earthquake gently woke me up. In this post, I would like to share how I used open data and GeoStats.jl...
Super fast pattern search: The FFT trick
In today’s post, I would like to document an old trick in image processing sometimes referred to as “The FFT trick” for exhaustive pattern search.
Flipping coins in continuous time: The Poisson process
In this post, I would like to contrast two ways of thinking about a coin flip process—one of which is very intuitive and one of which can be very useful for ...
machine-learning
Geostatistical Learning: Challenges and Opportunities
I am happy to share a paper accepted in Frontiers in Applied Mathematics and Statistics in which we introduce Geostatistical Learning. Please follow the link...
Forecasting PV Power Time Series Data
I am happy to share a poster in collaboration with Bennet Meyers where we investigated various models for multi-step, short-term forecasting of aggregate PV ...
mapbox
My first Earthquake
January 4, 2018. It was late night at Stanford when an Earthquake gently woke me up. In this post, I would like to share how I used open data and GeoStats.jl...
material-science
ENODe’s: Neural networks with organic devices!
My ex-roommate Scott Keene and another colleague of mine from Brazil Gregório Faria co-authored this nice paper on ENODe’s: an organic electronic device for ...
mining
Mineral Domaining at Arpeggeo®
Demonstration of our mineral domaining workflow.
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
Talk at IMPA
In this talk I discuss our recent paper on geostatistical modeling of geometallurgical variables. We introduce the challenges in the mining industry and shar...
morphology
Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data
I am happy to share a paper accepted in JGR:ES in which we analyze and synthesize the morphodynamics of rivers on the Earth surface via spatial stochastic mo...
probability
Flipping coins in continuous time: The Poisson process
In this post, I would like to contrast two ways of thinking about a coin flip process—one of which is very intuitive and one of which can be very useful for ...
publications
Geostatistical Learning: Challenges and Opportunities
I am happy to share a paper accepted in Frontiers in Applied Mathematics and Statistics in which we introduce Geostatistical Learning. Please follow the link...
Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data
I am happy to share a paper accepted in JGR:ES in which we analyze and synthesize the morphodynamics of rivers on the Earth surface via spatial stochastic mo...
Efficient Variography with Partition Variograms
I am happy to share a paper accepted in C&G in which we generalize the concept of directional variograms to general partitions of spatial data. In the pa...
Talk at CSDMS 2018
I am happy to share a short talk at CSDMS 2018 with my current research investigations on geomorphology and extreme events. A paper is coming out soon with a...
GeoStats.jl paper published in JOSS
I am happy to share a paper accepted in JOSS for the GeoStats.jl framework. It is been a real pleasure to interact with the community and to learn about the ...
Synthesizing videos of flume experiments with neural networks
I am happy to share a poster for a class project in which neural networks are trained to synthesize new videos of flume experiments. Results show that the co...
Forecasting PV Power Time Series Data
I am happy to share a poster in collaboration with Bennet Meyers where we investigated various models for multi-step, short-term forecasting of aggregate PV ...
Sequence Mining and Pattern Analysis in Drilling Reports with Deep Natural Language Processing
I am happy to share a short application paper in collaboration with Youli Mao that we wrote as part of our summer internship at Halliburton Inc. The obtained...
Hydrostatigraphic Modelling using Multiple-point Statistics and Airbone Transient Electromagnetic Methods
I am happy to share a paper in collaboration with Adrian Barfod, in which we compare Single Normal Equation Simulation, Direct Sampling, and Image Quilting o...
Talk at JuliaCon 2017
A talk I gave at JuliaCon 2017 about ImageQuilting.jl. The first slide of the presentation was cut from the video, but it will hopefully be fixed soon.
Stochastic Simulation by Image Quilting of Process-based Geological Models
I am happy to share a paper accepted in C&G for stochastic simulation of Earth models. The accepted manuscript and the open source software are both avai...
science
GeoTables.jl at JuliaEO 2024
GeoTables.jl at JuliaEO 2024.
GeoStats.jl at JuliaEO 2024
GeoStats.jl at JuliaEO 2024.
Geospatial Data Science with Julia
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practi...
Geociência de dados com GeoStats.jl
Geociência de dados com GeoStats.jl no SIG 2023 na UNICAMP.
Introduction to Julia & GeoStats.jl at Z_GIS
Introduction to Julia and GeoStats.jl at Z_GIS.
Mineral Domaining at Arpeggeo®
Demonstration of our mineral domaining workflow.
Geodata Science Hands-on at JuliaEO 2023
Hands-on session on geodata science with GeoStats.jl at JuliaEO 2023.
Advanced Geodata Science at Arpeggeo®
Demonstration of our advanced geodata science platform.
solar
Forecasting PV Power Time Series Data
I am happy to share a poster in collaboration with Bennet Meyers where we investigated various models for multi-step, short-term forecasting of aggregate PV ...
stochastic-modeling
Flipping coins in continuous time: The Poisson process
In this post, I would like to contrast two ways of thinking about a coin flip process—one of which is very intuitive and one of which can be very useful for ...
variography
Efficient Variography with Partition Variograms
I am happy to share a paper accepted in C&G in which we generalize the concept of directional variograms to general partitions of spatial data. In the pa...