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 ## Software
 
-- **BayesFlow: Amortized Bayesian Workflows with Neural Networks**
+- **BayesFlow: Amortized Bayesian Workflows with Neural Networks**<br />by Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
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@@ -140,7 +140,7 @@ We highly recommend checking out the `awesome-neural-sbi` list for more resource
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-- **sbi: A Toolkit for Simulation-Based Inference**
+- **sbi: A Toolkit for Simulation-Based Inference**<br />by Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
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-- **Amortized Bayesian Multilevel Models** (2024)<br />_Reading this paper? Please consider contributing a TLDR summary._<br />by Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner
+- **Amortized Bayesian Multilevel Models** (2024)<br />_Reading this paper? Please consider contributing a TLDR summary._<br /><span style="display: inline-block; padding: 0.2em 0.5em; margin: 0 0.5em 0.5em 0; font-size: 0.8em; background-color: #f0f0f0; border-radius: 3px;">parameter estimation</span><br />by Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner
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@@ -205,7 +205,7 @@ We highly recommend checking out the `awesome-neural-sbi` list for more resource
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-- **Likelihood-Free Parameter Estimation with Neural Bayes Estimators** (2024)<br />_Reading this paper? Please consider contributing a TLDR summary._<br />by Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser
+- **Likelihood-Free Parameter Estimation with Neural Bayes Estimators** (2024)<br />_Reading this paper? Please consider contributing a TLDR summary._<br /><span style="display: inline-block; padding: 0.2em 0.5em; margin: 0 0.5em 0.5em 0; font-size: 0.8em; background-color: #f0f0f0; border-radius: 3px;">parameter estimation</span><br />by Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Raphaël Huser
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@@ -460,7 +460,7 @@ We highly recommend checking out the `awesome-neural-sbi` list for more resource
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-- **Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design** (2021)<br />_Reading this paper? Please consider contributing a TLDR summary._<br />by Adam Foster, Desi R. Ivanova, Malik Ilyas, Tom Rainforth
+- **Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design** (2021)<br />_Reading this paper? Please consider contributing a TLDR summary._<br /><span style="display: inline-block; padding: 0.2em 0.5em; margin: 0 0.5em 0.5em 0; font-size: 0.8em; background-color: #f0f0f0; border-radius: 3px;">BED</span> <span style="display: inline-block; padding: 0.2em 0.5em; margin: 0 0.5em 0.5em 0; font-size: 0.8em; background-color: #f0f0f0; border-radius: 3px;">adaptive design</span><br />by Adam Foster, Desi R. Ivanova, Malik Ilyas, Tom Rainforth
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@@ -553,7 +553,7 @@ We highly recommend checking out the `awesome-neural-sbi` list for more resource
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-- **A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials** (2023)<br />_Reading this paper? Please consider contributing a TLDR summary._<br />by Amin Ghaderi-Kangavari, Jamal Amani Rad, Michael D. Nunez
+- **A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials** (2023)<br />_Reading this paper? Please consider contributing a TLDR summary._<br /><span style="display: inline-block; padding: 0.2em 0.5em; margin: 0 0.5em 0.5em 0; font-size: 0.8em; background-color: #f0f0f0; border-radius: 3px;">cognitive modeling</span><br />by Amin Ghaderi-Kangavari, Jamal Amani Rad, Michael D. Nunez
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@@ -566,13 +566,12 @@ We highly recommend checking out the `awesome-neural-sbi` list for more resource
   pages = {317--376},
   issn = {2522-0861, 2522-087X},
   doi = {10.1007/s42113-023-00167-4},
-  langid = {english},
   author = {Ghaderi-Kangavari and Rad and Nunez}
   }
   </code>
   </pre></details>
 
-- **Amortized Inference with User Simulations** (2023)<br />_Reading this paper? Please consider contributing a TLDR summary._<br />by Hee-Seung Moon, Antti Oulasvirta, Byungjoo Lee
+- **Amortized Inference with User Simulations** (2023)<br />_Reading this paper? Please consider contributing a TLDR summary._<br /><span style="display: inline-block; padding: 0.2em 0.5em; margin: 0 0.5em 0.5em 0; font-size: 0.8em; background-color: #f0f0f0; border-radius: 3px;">human-computer interaction</span><br />by Hee-Seung Moon, Antti Oulasvirta, Byungjoo Lee
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@@ -658,7 +657,6 @@ We highly recommend checking out the `awesome-neural-sbi` list for more resource
   pages = {5408},
   issn = {1424-8220},
   doi = {10.3390/s22145408},
-  langid = {english},
   author = {Heringhaus and Zhang and Zimmermann and Mikelsons}
   }
   </code>