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Welcome.

+

My name is Patrick Altmeyer.

I’m a PhD Candidate in Trustworthy Artificial Intelligence at Delft University of Technology working on the intersection of Computer Science and Finance.

My current research revolves around Counterfactual Explanations and Probabilistic Machine Learning. Previously, I worked as an Economist for the Bank of England.

I primarily code in Julia and publish through Quarto. Occasionally I also use R, Python and C++. As much as possible I contribute to open-source: Github.

diff --git a/docs/search.json b/docs/search.json index 8c45f048..3ea82045 100644 --- a/docs/search.json +++ b/docs/search.json @@ -494,7 +494,7 @@ "href": "index.html", "title": "Welcome.", "section": "", - "text": "Welcome.\nI’m a PhD Candidate in Trustworthy Artificial Intelligence at Delft University of Technology working on the intersection of Computer Science and Finance.\nMy current research revolves around Counterfactual Explanations and Probabilistic Machine Learning. Previously, I worked as an Economist for the Bank of England.\nI primarily code in Julia and publish through Quarto. Occasionally I also use R, Python and C++. As much as possible I contribute to open-source: Github.\nYou can find the code that builds this website using Quarto in this repo.\n\nNews\n\nIn May 2024, I’ll be in London, UK, to present research at ECONDAT 2024 (King’s College London), The Alan Turing Institute and Imperial College London. If you’re around, come say hi!\nOur position paper “Against Spurious Sparks—Dovelating Inflated AI Claims 🕊️” has been accepted at ICML 2024. We argue that finding patterns in latent embeddings of models like LLMs is not surprising and call for the academic community to exercise extra caution when interpreting such findings. [preprint], [blog post]\nI was at AAAI 2024 in Vancouver, Canada presenting our work on Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals. If you’re around, come say hi! [preprint], [blog], [TDS], [code], [slides/poster]\nI’ve published a new lightweight Julia package for working with the Trillion Dollar Words dataset, model and embeddings. Find out more about it here.\nThe Taija package ecosystem for Trustworthy AI in Julia is slowly growing. If you’re interested in contributing, please get in touch!\nAs of September 15, 2023, I’m a third-year PhD student. I’m still loving the experience, although second year did get a bit stressful at times. I’m looking forward to the next two years!\n\n\n\nFeatured Visual\n\n\n\nOne of my favorite illustrations of how our recently proposed ECCCo counterfactual generator works compared to Wachter: gradient fields and counterfactual paths for Wachter, ECCCo (no energy constraint), ECCCo (no conformal prediction), ECCCo (full objective).\n\n\n\n\nContact\nYou can find me on Mastodon and LI or reach out to me by email." + "text": "Welcome.\nMy name is Patrick Altmeyer.\nI’m a PhD Candidate in Trustworthy Artificial Intelligence at Delft University of Technology working on the intersection of Computer Science and Finance.\nMy current research revolves around Counterfactual Explanations and Probabilistic Machine Learning. Previously, I worked as an Economist for the Bank of England.\nI primarily code in Julia and publish through Quarto. Occasionally I also use R, Python and C++. As much as possible I contribute to open-source: Github.\nYou can find the code that builds this website using Quarto in this repo.\n\nNews\n\nIn May 2024, I’ll be in London, UK, to present research at ECONDAT 2024 (King’s College London), The Alan Turing Institute and Imperial College London. If you’re around, come say hi!\nOur position paper “Against Spurious Sparks—Dovelating Inflated AI Claims 🕊️” has been accepted at ICML 2024. We argue that finding patterns in latent embeddings of models like LLMs is not surprising and call for the academic community to exercise extra caution when interpreting such findings. [preprint], [blog post]\nI was at AAAI 2024 in Vancouver, Canada presenting our work on Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals. If you’re around, come say hi! [preprint], [blog], [TDS], [code], [slides/poster]\nI’ve published a new lightweight Julia package for working with the Trillion Dollar Words dataset, model and embeddings. Find out more about it here.\nThe Taija package ecosystem for Trustworthy AI in Julia is slowly growing. If you’re interested in contributing, please get in touch!\nAs of September 15, 2023, I’m a third-year PhD student. I’m still loving the experience, although second year did get a bit stressful at times. I’m looking forward to the next two years!\n\n\n\nFeatured Visual\n\n\n\nOne of my favorite illustrations of how our recently proposed ECCCo counterfactual generator works compared to Wachter: gradient fields and counterfactual paths for Wachter, ECCCo (no energy constraint), ECCCo (no conformal prediction), ECCCo (full objective).\n\n\n\n\nContact\nYou can find me on Mastodon and LI or reach out to me by email." }, { "objectID": "content/about/index.html", diff --git a/docs/sitemap.xml b/docs/sitemap.xml index 8c1630ee..994c7d1f 100644 --- a/docs/sitemap.xml +++ b/docs/sitemap.xml @@ -50,7 +50,7 @@ https://www.paltmeyer.com/blog/index.html - 2023-11-15T15:14:20.921Z + 2024-06-16T07:01:30.497Z https://www.paltmeyer.com/blog/content/about/index.html diff --git a/index.qmd b/index.qmd index be5156fb..54b25e43 100644 --- a/index.qmd +++ b/index.qmd @@ -5,6 +5,8 @@ toc: false # Welcome. +My name is Patrick Altmeyer. + I’m a PhD Candidate in **Trustworthy Artificial Intelligence** at Delft University of Technology working on the intersection of Computer Science and Finance. My current research revolves around **Counterfactual Explanations** and **Probabilistic Machine Learning**. Previously, I worked as an Economist for the Bank of England.