more updates

Author: alekdimi

_bibliography/papers.bib

@@ -1,6 +1,27 @@
 ---
 ---
 
+@inproceedings{gemini2024v2,
+  title = {Gemini 1.5: Unlocking Multimodal Understanding Across Millions of Tokens of Context},
+  author = {Gemini Team},
+  booktitle = {Technical Report},
+  year = {2024},
+  month = {February},
+  pdf = {https://arxiv.org/pdf/2403.05530},
+  selected = {true},
+  bibtex_show = {true},
+}
+@inproceedings{gemini2023v1,
+  title = {Gemini: A Family of Highly Capable Multimodal Models},
+  author = {Gemini Team},
+  booktitle = {Technical Report},
+  year = {2023},
+  month = {December},
+  pdf = {https://arxiv.org/pdf/2312.11805},
+  selected = {true},
+  bibtex_show = {true},
+}
+
 @inproceedings{dimitriev2021carms,
   title = {CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator},
   author = {Dimitriev, Alek and Zhou, Mingyuan},

_config.yml

@@ -9,8 +9,7 @@ last_name: Dimitriev
 email: dimitriev.aleksandar@gmail.com
 description: > # the ">" symbol means to ignore newlines until "footer_text:"
   Alek Dimitriev's personal website.
-footer_text: >
-  Powered by <a href="http://jekyllrb.com/" target="_blank">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio">al-folio</a> theme.
+footer_text: asda # >%Powered by <a href="http://jekyllrb.com/" target="_blank">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio">al-folio</a> theme.
 lang: en
 icon: 📖 # the emoji used as the favicon
 url: https://alekdimi.github.io # the base hostname & protocol for your site

_data/coauthors.yml

@@ -1,16 +1,20 @@
-"Zhou":
-  - firstname: ["Mingyuan", "M."]
-    url: https://mingyuanzhou.github.io
+# "Zhou":
+#   - firstname: ["Mingyuan", "M."]
+#     url: https://mingyuanzhou.github.io
 
-"Kristan":
-  - firstname: ["Matej", "M."]
-    url: https://www.vicos.si/people/matej_kristan/
+# "Gemini":
+#   - firstname: ["Gemini", "Gemini"]
+#     url: https://gemini.google.com/
 
-"Štrumbelj":
-  - firstname: ["Erik", "E."]
-    url: https://www.fri.uni-lj.si/en/about-faculty/employees/erik-strumbelj
+# "Kristan":
+#   - firstname: ["Matej", "M."]
+#     url: https://www.vicos.si/people/matej_kristan/
 
-"Bosnič":
-  - firstname: ["Zoran", "Z."]
-    url: https://fri.uni-lj.si/en/about-faculty/employees/zoran-bosnic
+# "Štrumbelj":
+#   - firstname: ["Erik", "E."]
+#     url: https://www.fri.uni-lj.si/en/about-faculty/employees/erik-strumbelj
+
+# "Bosnič":
+#   - firstname: ["Zoran", "Z."]
+#     url: https://fri.uni-lj.si/en/about-faculty/employees/zoran-bosnic
 

_includes/selected_papers.html

@@ -1,4 +1,4 @@
 <div class="publications">
-  <h2>Selected publications:</h2>
+  <h2>Selected papers:</h2>
   {% bibliography -f papers -q @*[selected=true]* %}
 </div>

_layouts/bib.html

@@ -38,29 +38,29 @@
 
       {%- if forloop.length == 1 -%}
         {%- if author_is_self %}
-          <em>{{author.last}}, {{author.first}}</em>
+          <em>{{author.first}} {{author.last}}</em>
         {%- else -%}
-          {{author.last}}, {{author.first}}
+          {{author.first}} {{author.last}}
         {%- endif -%}
       {%- else -%}
         {%- unless forloop.last -%}
           {% if author_is_self %}
-            <em>{{author.last}}, {{author.first}}</em>,&nbsp;
+            <em>{{author.first}} {{author.last}}</em>&nbsp;
           {%- else -%}
             {% if coauthor_url -%}
-              <a href="{{coauthor_url}}">{{author.last}}, {{author.first}}</a>,&nbsp;
+              <a href="{{coauthor_url}}">{{author.first}} {{author.last}}</a>&nbsp;
             {%- else -%}
-              {{author.last}}, {{author.first}},&nbsp;
+              {{author.first}} {{author.last}}&nbsp;
             {%- endif -%}
           {%- endif -%}
         {%- else -%}
           {% if author_is_self -%}
-            and <em>{{author.last}}, {{author.first}}</em>
+            and <em>{{author.first}} {{author.last}}</em>
           {% else -%}
             {%- if coauthor_url -%}
-              and <a href="{{coauthor_url}}">{{author.last}}, {{author.first}}</a>
+              and <a href="{{coauthor_url}}">{{author.first}} {{author.last}}</a>
             {% else -%}
-              and {{author.last}}, {{author.first}}
+              and {{author.first}} {{author.last}}
             {%- endif -%}
           {%- endif -%}
         {%- endunless -%}
@@ -72,7 +72,7 @@
     {% if entry.type == "article" -%}
       {%- capture entrytype -%}<em>{{entry.journal}}</em>{%- endcapture -%}
     {%- elsif entry.type == "inproceedings" -%}
-      {%- capture entrytype -%}<em>In {{entry.booktitle}}</em> {%- endcapture -%}
+      {%- capture entrytype -%}<em>{{entry.booktitle}}</em>, {%- endcapture -%}
     {%- endif -%}
     {%- if entry.month -%}
       {%- capture entrymonth -%}{{ " " }}{{ entry.month | capitalize }}{%- endcapture -%}

_pages/about.md

@@ -5,13 +5,24 @@ permalink: /
 subtitle: # <a href="https://www.mccombs.utexas.edu/PhD/Areas-of-Study/IROM">IROM Department</a> &#8226; <a href="https://www.mccombs.utexas.edu/">McCombs School of Business</a> &#8226; <a href="https://www.utexas.edu/">University of Texas at Austin</a>
 profile:
   align: right
-  image: profile_square.jpg
+  image: prof.jpeg
   address:
 
 news: false  # includes a list of news items
 selected_papers: true # includes a list of papers marked as "selected={true}"
 social: true  # includes social icons at the bottom of the page
 ---
 
-I'm a machine learning engineer at [Google](https://about.google/), working on large language models. Before that, I did my PhD in machine learning at [UT Austin](https://www.utexas.edu/), advised by [Prof. Mingyuan Zhou](http://mingyuanzhou.github.io/), where I did research in backpropagating through discrete variables in deep learning. I also hold an M.Sc. and B.Sc. in computer science from the [University of Ljubljana](https://fri.uni-lj.si/en). 
-<!-- Before starting my PhD, I worked on applying machine learning to different domains. I was a visiting researcher at Stanford University, working with [Prof. Leskovec](https://cs.stanford.edu/~jure/) on applying NLP to extract protein-protein interactions from the scientific literature. I also worked as a data scientist at [Zemanta](https://www.zemanta.com/) and [Salviol](http://www.salviol.com/) preventing fraud in native advertising and insurance claims, respectively. For more details, see my [resume](assets/pdf/Resume-Alek-Dimitriev.pdf).  In my free time, i like to [read](https://www.goodreads.com/review/list/9349542-alek), listen to podcasts, and think about how best to [improve the world](https://en.wikipedia.org/wiki/Effective_altruism). -->
+I'm a machine learning engineer at Google, working on [Gemini](https://gemini.google.com) finetuning and inference for teams across [Alphabet](https://abc.xyz). I've been fortunate to work on a wide range of problems, ranging from multimodal capabilities augmentation, to non-generative tasks like text embedding, to automating model hyperparameters and sharding to improve training and inference efficiency.
+
+Before Google, I did my PhD in machine learning at [UT Austin](https://www.utexas.edu/), advised by [Prof. Mingyuan Zhou](http://mingyuanzhou.github.io/), where my research was focused on [Gradient estimation for discrete variables via dependent Monte Carlo samples](https://repositories.lib.utexas.edu/items/b2924809-2671-48ba-b004-5e509f50bcc0). I also hold an M.Sc. and B.Sc. in computer science from the [University of Ljubljana](https://fri.uni-lj.si/en).
+
+<!-- I'm a machine learning engineer at [Google](https://about.google/), working on large language models. Before that, I did my PhD in machine learning at [UT Austin](https://www.utexas.edu/), advised by [Prof. Mingyuan Zhou](http://mingyuanzhou.github.io/), where I did research in backpropagating through discrete variables in deep learning. I also hold an M.Sc. and B.Sc. in computer science from the [University of Ljubljana](https://fri.uni-lj.si/en). 
+Before starting my PhD, I worked on applying machine learning to different domains. 
+I was a visiting researcher at Stanford University, working with [Prof. Leskovec](https://cs.stanford.edu/~jure/) 
+on applying NLP to extract protein-protein interactions from the scientific literature.
+ I also worked as a data scientist at [Zemanta](https://www.zemanta.com/) 
+ and [Salviol](http://www.salviol.com/) preventing fraud in native advertising and insurance claims, 
+ respectively. For more details, see my [resume](assets/pdf/Resume-Alek-Dimitriev.pdf).  
+ In my free time, i like to [read](https://www.goodreads.com/review/list/9349542-alek), 
+ listen to podcasts, and think about how best to [improve the world](https://en.wikipedia.org/wiki/Effective_altruism). -->

_sass/_base.scss

@@ -71,7 +71,7 @@ blockquote {
 
 @media (min-width: 576px) {
   .profile {
-    width: 30%;
+    width: 40%;
     .address {
       p { display: block; }
     }

_sass/_themes.scss

@@ -7,8 +7,8 @@
   --global-code-bg-color: #{$code-bg-color-light};
   --global-text-color: #{$black-color};
   --global-text-color-light: #{$grey-color};
-  --global-theme-color: #{$burnt-orange-color};
-  --global-hover-color: #{$light-orange-color};
+  --global-theme-color: #{$blue-color};
+  --global-hover-color: #{$blue-color-light};
   --global-footer-bg-color: #{$grey-color-dark};
   --global-footer-text-color: #{$grey-color-light};
   --global-footer-link-color: #{$white-color};
@@ -30,8 +30,8 @@ html[data-theme='dark'] {
   --global-code-bg-color: #{$code-bg-color-dark};
   --global-text-color: #{$grey-color-light};
   --global-text-color-light: #{$grey-color-light};
-  --global-theme-color: #{$burnt-orange-color};
-  --global-hover-color: #{$light-orange-color};
+  --global-theme-color: #{$blue-color};
+  --global-hover-color: #{$blue-color-light};
   --global-footer-bg-color: #{$grey-color-light};
   --global-footer-text-color: #{$grey-color-dark};
   --global-footer-link-color: #{$black-color};

_sass/_variables.scss

@@ -10,6 +10,7 @@ $red-color-dark:      #B71C1C !default;
 $orange-color:        #F29105 !default;
 $blue-color:          #0076df !default;
 $blue-color-dark:     #00369f !default;
+$blue-color-light:    #52a6f0 !default;
 $cyan-color:          #2698BA !default;
 $light-cyan-color:    lighten($cyan-color, 25%);
 $green-color:         #00ab37 !default;