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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About Me
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Archive Layout with Content
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Posts by Category
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Posts by Collection
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CV
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CV
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Markdown
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Portfolio
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Publications
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Sitemap
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{% include base_path %} A list of all the posts and pages found on the site. For you robots out there, there is an [XML version]({{ base_path }}/sitemap.xml) available for digesting as well.
Pages
{% for post in site.pages %} {% include archive-single.html %} {% endfor %}Posts
{% for post in site.posts %} {% include archive-single.html %} {% endfor %} {% capture written_label %}'None'{% endcapture %} {% for collection in site.collections %} {% unless collection.output == false or collection.label == "posts" %} {% capture label %}{{ collection.label }}{% endcapture %} {% if label != written_label %}{{ label }}
{% capture written_label %}{{ label }}{% endcapture %} {% endif %} {% endunless %} {% for post in collection.docs %} {% unless collection.output == false or collection.label == "posts" %} {% include archive-single.html %} {% endunless %} {% endfor %} {% endfor %}Posts by Tags
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Talk map
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Talks and presentations
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Teaching
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Terms and Privacy Policy
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Blog posts
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Markdown Generator
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Posts
Future Blog Post
, 2199.
Blog Post number 4
, 2015.
Blog Post number 3
, 2014.
Blog Post number 2
, 2013.
Blog Post number 1
, 2012.
portfolio
Research Interests
, 1900.
publications
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting.
International Conference on Neural Information Processing, 2023.
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition.
Chaos, Solitons and Fractals, 2023.
Van der Pol-informed Neural Networks for Multi-step-ahead Forecasting of Extreme Climatic Events.
Advances in Neural Information Processing Systems (NeurIPS) - AI4Science, 2023.
Epicasting: An Ensemble Wavelet Neural Network for Forecasting Epidemics.
Neural Networks, 2023.
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art.
Machine Learning: Science and Technology, 2024.
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention.
IEEE Access, 2024.
Analysis of Regional Air Quality Data using Extreme Value Theory and Deep Learning Models.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025.
Zero-shot forecasting of epidemics.
Advances in Neural Information Processing Systems (NeurIPS) - BERT2S, 2025.
Skew Probabilistic Neural Networks for Learning from Imbalanced Data.
Pattern Recognition, 2025.
Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers.
Chaos, 2025.
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak.
Machine Learning, 2025.
ESTGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting.
Journal of the Royal Statistical Society: Series A, 2026.
Neural ARFIMA model for forecasting BRIC exchange rates with long memory under oil shocks and policy uncertainties.
Under Review, 2026.
EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting.
Under Review, 2026.
Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series.
Under Review, 2026.
talks
Talk 1 on Relevant Topic in Your Field
UC San Francisco, Department of Testing, 2012.
Tutorial 1 on Relevant Topic in Your Field
UC-Berkeley Institute for Testing Science, 2013.
Talk 2 on Relevant Topic in Your Field
London School of Testing, 2014.
Conference Proceeding talk 3 on Relevant Topic in Your Field
Testing Institute of America 2014 Annual Conference, 2014.
teaching
Teaching experience 1
University 1, Department, 2014.
Teaching experience 2
University 1, Department, 2015.