Add new images and update team and publication data

Author: dzinemon

_data/navigation.yml

@@ -1,4 +1,6 @@
 items:
+  - title: Home
+    url: "/"
   - title: Resources
     url: "/resources/"
   - title: Team

_data/open-sources-libs.yml

@@ -5,35 +5,36 @@
   github_owner: "sintel-dev"
   github_repo: "Orion"
   Theme: ML Task
-  Text_in_it: "Identifies anomalous time series segments."
+  Text_in_it: "Python library for unsupervised time series anomaly detection."
   website: https://signals-dev.github.io/Orion/
   Stackoverflow: ''
   slack_link: ''
   docs_link: "https://sintel.dev/Orion/"
-       
-- Library_name: Draco
-  badge_name: Draco
-  image_name: Draco
-  Github_Link: "https://github.com/sintel-dev/Draco"
+
+
+- Library_name: sigllm
+  badge_name: sigllm
+  image_name: SigPro2
+  Github_Link: https://github.com/sintel-dev/sigllm
   github_owner: "sintel-dev"
-  github_repo: "Draco"
+  github_repo: "sigllm"
   Theme: ML Task
-  Text_in_it: "Classifies time series segments into particular categories."
-  website: https://github.com/sintel-dev/Draco
-  Stackoverflow: ''
+  Text_in_it: "Detecting anomalies in time series using large language models."
+  website: https://github.com/sintel-dev/sigllm
+  Stackoverflow:
   slack_link: ''
-  docs_link: "https://sintel.dev/Draco/"
-       
-- Library_name: pyteller
-  badge_name: pyteller
-  image_name: pyteller
-  Github_Link: "https://github.com/sintel-dev/pyteller"
+  docs_link: ''
+
+- Library_name: SigPro
+  badge_name: SigPro
+  image_name: SigPro
+  Github_Link: "https://github.com/sintel-dev/SigPro"
   github_owner: "sintel-dev"
-  github_repo: "pyteller"
-  Theme: ML Task 
-  Text_in_it: "Predicts future values by analyzing past trends."
-  website: https://github.com/sintel-dev/pyteller
-  Stackoverflow: ''
+  github_repo: "SigPro"
+  Theme: Signal Processing
+  Text_in_it: "Featurizing time series data for downstream machine learning tasks."
+  website: https://sintel.dev
+  Stackoverflow: 
   slack_link: ''
   docs_link: ''
 
@@ -44,35 +45,20 @@
   github_owner: "sintel-dev"
   github_repo: "ml-stars"
   Theme: ML Task, Benchmarking
-  Text_in_it: "Stores a collection of pipelines that will be used by Orion, Draco, and Pyteller."
+  Text_in_it: "Providing primitives and pipelines for time series tasks."
   website: https://github.com/sintel-dev/ml-stars
   Stackoverflow: 
   slack_link: ''
   docs_link: ""
 
-- Library_name: SigPro
-  badge_name: SigPro
-  image_name: SigPro
-  Github_Link: "https://github.com/sintel-dev/SigPro"
-  github_owner: "sintel-dev"
-  github_repo: "SigPro"
-  Theme: Signal Processing
-  Text_in_it: "Featurizes time series with domain knowledge encoded for machine learning uses."
-  website: https://sintel.dev
-  Stackoverflow: 
-  slack_link: ''
-  docs_link: ''
-
-
-
 - Library_name: zephyr
   badge_name: gpe
   image_name: gpe
   Github_Link: "https://github.com/sintel-dev/zephyr"
   github_owner: "sintel-dev"
   github_repo: "zephyr"
   Theme: Data Labeling
-  Text_in_it: "Prediction engineering methods for wind turbine maintenance."
+  Text_in_it: "A machine learning library for assisting in the generation of machine learning problems for wind farms operations data by analyzing past occurrences of events."
   website: https://github.com/sintel-dev/gpe
   Stackoverflow: 
   slack_link: ''
@@ -85,7 +71,7 @@
   github_owner: "sintel-dev"
   github_repo: "sintel"
   Theme: User Interaction
-  Text_in_it: "Integrates a suite of visualization techniques to support complex analytic workflow with human-in-the-loop "
+  Text_in_it: "A visualization platform for complex time series analytics."
   website: https://github.com/sintel-dev/MTV
   Stackoverflow: 
   slack_link: ''
@@ -98,22 +84,8 @@
   github_owner: "sintel-dev"
   github_repo: "Sintel"
   Theme: User Interaction
-  Text_in_it: "Enables your team to build human-in-the-loop analytics workflow with predefined RESTFul APIs and MongoDB Schema."
+  Text_in_it: "Providing RESTful APIs to process signals."
   website: https://github.com/sintel-dev/sintel
   Stackoverflow: 
   slack_link: ''
-  docs_link: "http://mtv.lids.mit.edu:3000/redoc"
-
-
-- Library_name: TSGym
-  badge_name: TSGym
-  image_name: TSGym
-  Github_Link: "https://github.com/sintel-dev/TSGym"
-  github_owner: "sintel-dev"
-  github_repo: "TSGym"
-  Theme: Benchmarking
-  Text_in_it: "Benchmarks machine learning models for different tasks."
-  website: https://github.com/sintel-dev/TSGym
-  Stackoverflow: 
-  slack_link: ''
-  docs_link: ""
+  docs_link: "http://mtv.lids.mit.edu:3000/redoc"

_data/publications.yaml

@@ -1,17 +1,45 @@
+- title: >-
+    Can Large Language Models be Anomaly Detectors for Time Series?
+  subtitle: >-
+    Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, Kalyan Veeramachaneni
+  tag: DSAA
+  tag_text: IEEE International Conference on Data Science and Advanced Analytics, 2024.
+  image: /images/publications/llm.png
+  links: 
+    - name: "pdf"
+      url: "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10722786"
+    - name: "bib"
+      url: "https://github.com/sintel-dev/sigllm"
+    - name: "news"
+      url: "https://news.mit.edu/2024/researchers-use-large-language-models-to-flag-problems-0814"
+
+- title: >-
+    OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User
+  subtitle: >-
+    Sarah Alnegheimish, Laure Berti-Equille, Kalyan Veeramachaneni
+  tag: BigData
+  tag_text:  IEEE International Conference on Big Data, 2024.
+  image: /images/publications/orionbench.png
+  links: 
+    - name: "pdf"
+      url: "https://arxiv.org/pdf/2310.1774"
+    - name: "code"
+      url: "https://github.com/sintel-dev/Orion"
+
 - title: >-
     AER: Auto-Encoder with Regression for Time Series Anomaly Detection
   subtitle: >-
     Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni
   tag: BigData
-  tag_text: IEEE International Conference on BigData, 2022. (to appear)
+  tag_text: IEEE International Conference on BigData, 2022.
   image: /images/publications/2022_aer_bigdata.png
   links: 
     - name: "pdf"
-      url: "#"
+      url: "https://arxiv.org/pdf/2212.13558"
     - name: "bib"
       url: "#"
     - name: "code"
-      url: "#"
+      url: "https://github.com/sintel-dev/Orion"
 - title: >-
     Sintel: A Machine Learning Framework to Extract Insights from Signals
   subtitle: >-
@@ -50,8 +78,8 @@
   tag: BigData
   tag_text: IEEE International Conference on BigData, 2020
   image: /images/publications/tadgan.svg
-  cta_text: GitHub stars > 600
-  cta_url: "https://github.com/sintel-dev/Orion"
+  # cta_text: GitHub stars > 600
+  # cta_url: "https://github.com/sintel-dev/Orion"
   links: 
     - name: "pdf"
       url: "http://dongyu.tech/resource/paper/tadgan_2020_ieeebigdata.pdf"

_data/sponsors.yml

@@ -9,4 +9,8 @@
 - name: hyundai
   image: images/sponsors/hyundai-logo.png
   url: "https://www.hyundai.com/worldwide/en"
+  width: 15rem
+- name: ge vernova
+  image: images/sponsors/ge-vernova.svg
+  url: "https://www.gevernova.com/"
   width: 15rem

_data/tabs.yaml

@@ -36,69 +36,16 @@
 
     train_data = load_signal('S-1-train')
 
-    orion = Orion(pipeline='lstm_dynamic_threshold')
-
+    orion = Orion('aer')
     orion.fit(train_data)
 
     new_data = load_signal('S-1-new')
-    
+
     orion.detect(new_data)
 
   output: /images/tabs/img/anomaly-output.png
-- title: Classification
-  name: draco_c
-  slug: sintel-dev/Orion
-  subtitle: Classify time series segments into particular categories.
-  image:
-  icon: /img/Draco.svg
-  code: |+ 
-    from draco.demo import load_demo
-    from draco.pipeline import DracoPipeline
-    from sklearn.model_selection import train_test_split
-
-    target_times, readings = load_demo()
-
-    train, test = train_test_split(
-      target_times, test_size=0.25, random_state=0)
-    
-    test_targets = test.pop('target')
 
-    draco = DracoPipeline(
-      'classes.normalize_dfs_xgb_classifier')
-    
-    draco.fit(train, readings)
-    
-    draco.predict(test, readings)
-
-  output: /images/tabs/img/classification-output.png
-- title: Forecasting
-  name: pyteller
-  slug: sintel-dev/sintel
-  subtitle: Predict future values by analyzing past trends.
-  image:
-  icon: /img/pyteller.svg
-  code: |+
-    from pyteller.data import load_data
-    from pyteller.core import Pyteller
-
-    train_data = load_data(
-      'pyteller/data/AL_Weather_current.csv')
-    test_data = load_data(
-      'pyteller/data/AL_Weather_input.csv')
-
-    pyteller = Pyteller(
-      pipeline=('pyteller/pipelines/sandbox/'
-                'LSTM/LSTM_offset.json'),
-      pred_length=6, offset=1)
-
-    pyteller.fit(
-      data=train_data,
-      timestamp_col='valid', target_signal='tmpf',
-      entity_col='station', entities='8A0')
-    
-    pyteller.forecast(data=test_data)
 
-  output: /images/tabs/img/forecasting-output.png
 - title: Benchmarking
   name: benchmark
   slug: sintel-dev/Orion

_data/team-alumni.yaml

@@ -8,4 +8,10 @@
 - name: Iulia Ionescu
 - name: Michaela Henry
 - name: Skylar Eiskowitz
-- name: Alex Gieger
+- name: Alex Gieger
+- name: Linh Nguyen
+- name: Sara Pido
+- name: Grace Song
+- name: Guanpeng (Andy) Xu
+- name: Arash Akhgari
+- name: Brendon Reperttang

_data/team.yaml

@@ -13,46 +13,53 @@
   image: mit-sarah.png
   title: PhD Student (Project Lead)
   info: 
-- name: Sara Pido
-  link: ""
-  image: sara-pido.jpeg
-  title: Postdoc
-  info: 
 - name: LAURE BERTI-ÉQUILLE
   link: ""
   image: laure.jpeg
   title: Visiting Professor
   info: 
-- name: Arash Akhgari
-  link: ""
-  image: arash.jpg
-  title: Animator & Graphic Designer
-  info:
-- name: Linh Nguyen
-  link: ''
-  image: linh-nguyen.jpeg
-  title: 
-  info: UROP
-- name: Brendon Reperttang
-  link: ''
-  image: brendon-reperttang.jpeg
-  title: 
-  info: UROP
 - name: Raymond Pan
   link: ''
   image: raymond-pan.jpeg
   title: 
   info: UROP
-- name: Grace Song
+- name: Salim Cherkaoui
   link: ''
-  image: grace-song.jpeg
-  title: 
-  info: MEng
-- name: Guanpeng (Andy) Xu
-  link: ''
-  image: guanpeng.jpeg 
-  title: 
-  info: MEng
+  image: salim-cherkaoui.jpeg
+  title: Visiting Student
+  info: 
+# - name: Sara Pido
+#   link: ""
+#   image: sara-pido.jpeg
+#   title: Postdoc
+#   info: 
+
+# - name: Arash Akhgari
+#   link: ""
+#   image: arash.jpg
+#   title: Animator & Graphic Designer
+#   info:
+# - name: Linh Nguyen
+#   link: ''
+#   image: linh-nguyen.jpeg
+#   title: 
+#   info: UROP
+# - name: Brendon Reperttang
+#   link: ''
+#   image: brendon-reperttang.jpeg
+#   title: 
+#   info: UROP
+
+# - name: Grace Song
+#   link: ''
+#   image: grace-song.jpeg
+#   title: 
+#   info: MEng
+# - name: Guanpeng (Andy) Xu
+#   link: ''
+#   image: guanpeng.jpeg 
+#   title: 
+#   info: MEng
 
 
 # - name: Frances Hartwell

_includes/footer.html

@@ -30,7 +30,7 @@
         <a href="https://dai.lids.mit.edu/"><img src="{{'images/DAI logo.svg' | relative_url }}" width="130" class="d-inline-block p-2" alt="Data to AI" loading="lazy"></a>
       </div>
       <div class="col-auto">
-        <p class="m-0 text-lg-center text-left"><a href="https://dai.lids.mit.edu/" rel="noreferrer" target="_blank" class="text-white font-weight-light small">Copyright © {{ 'now' | date: "%Y" }} Data to AI Laboratory, Massachusetts Institute of Technology</a></p>
+        <p class="m-0 text-lg-center text-left"><a href="https://dai.lids.mit.edu/" rel="noreferrer" target="_blank" class="text-white font-weight-light small">Copyright © 2022 - {{ 'now' | date: "%Y" }} Data to AI Laboratory, Massachusetts Institute of Technology</a></p>
       </div>
       <div class="col-auto">
         <a href="https://accessibility.mit.edu/" class="text-white font-weight-light small" target="_blank" rel="noopener">Accessibility</a>