Updates on asteroseismology and Diffusion references

DiffusionModels.ipynb

@@ -21,12 +21,16 @@
     " * [theaisummer blog introduction](https://theaisummer.com/diffusion-models/)\n",
     " * [Set of resources, paper on code on github of @heejkoo](https://github.com/heejkoo/Awesome-Diffusion-Models)\n",
     " * [Understanding Diffusion Models: A Unified Perspective](https://arxiv.org/abs/2208.11970)\n",
-    " * [Beginner's guide to diffusion models](https://towardsdatascience.com/beginners-guide-to-diffusion-models-8c3435ccb4ae)"
+    " * [Beginner's guide to diffusion models](https://towardsdatascience.com/beginners-guide-to-diffusion-models-8c3435ccb4ae)\n",
+    " * [Tutorial on Diffusion Models for Imaging and Vision](https://arxiv.org/abs/2403.18103)\n",
+    "\n",
+    "\n",
+    "Understanding Diffusion Models: A Unified Perspective:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -36,54 +40,78 @@
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": []
+   "source": [
+    "High-Resolution Image Synthesis with Latent Diffusion Models:"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#IFrame(\"doc/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.pdf\", width=1200, height=800)"
+    "#IFrame(\"doc/DiffusionModels/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.pdf\", width=1200, height=800)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": []
+   "source": [
+    "TACKLING THE GENERATIVE LEARNING TRILEMMA WITH DENOISING DIFFUSION GANS:"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#IFrame(\"doc/2112.07804.pdf\", width=1200, height=800)"
+    "#IFrame(\"doc/DiffusionModels/2112.07804.pdf\", width=1200, height=800)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": []
+   "source": [
+    "Denoising Diffusion Probabilistic Models"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#IFrame(\"doc/NeurIPS-2020-denoising-diffusion-probabilistic-models-Paper.pdf\", width=1200, height=800)"
+    "#IFrame(\"doc/DiffusionModels/NeurIPS-2020-denoising-diffusion-probabilistic-models-Paper.pdf\", width=1200, height=800)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
+   "source": [
+    "Tutorial on Diffusion Models for Imaging and Vision:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#IFrame(\"doc/DiffusionModels/2403.18103v1.pdf\", width=1200, height=800)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -97,7 +125,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.12.1"
   }
  },
  "nbformat": 4,

Physics101AsteroSeismologyAndSphericalHarmonics.ipynb

@@ -30,6 +30,7 @@
    "source": [
     "## References\n",
     "\n",
+    "* [Excellent AAVSO introduction from Conny Aerts on Astera seismology](https://www.youtube.com/watch?v=b7KcFvASM0Y&ab_channel=AAVSOHQ)\n",
     "* [Wikipedia article about asteroseismology](https://en.wikipedia.org/wiki/Asteroseismology)\n",
     "* [Wikipedia article about spherical harmonics](https://en.wikipedia.org/wiki/Spherical_harmonics)\n",
     "* [Wikipedia article about bessel functions](https://en.wikipedia.org/wiki/Bessel_function)\n",
@@ -278,21 +279,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.18"
+   "pygments_lexer": "ipython3",
+   "version": "3.12.1"
   }
  },
  "nbformat": 4,