diff --git a/src/components/HeroSection/index.jsx b/src/components/HeroSection/index.jsx index ba59b21..ef296ed 100755 --- a/src/components/HeroSection/index.jsx +++ b/src/components/HeroSection/index.jsx @@ -33,45 +33,75 @@ const citation = ` `; const news = [ -{ - date: "01/23/25", - content: ( - - Added{" "} - - bibfile - {" "} for book and - - LaTeX - {" "} - for all equations - - ), -}, -{ - date: "12/17/24", - content: ( - - - - Video lectures - {" "} - for chapters 1-12 from Tamer Elsayed of Qatar University. - - ), -}, -{ - date: "12/05/24", - content: ( - - New{" "} - - blog - {" "} - on Neural network Gaussian processes - - ), -}, + { + // date: "03/6/25", + // content: ( + // + // New {" "} + // + // slides and video lectures + // {" "} + // that closely follow the book from Thomas Gardos of Boston University. + // + // ), + }, + { + date: "02/19/25", + content: ( + + Three new blogs {" "} + + [1] + + + [2] + + + [3] + {" "} + on ODEs and SDEs in machine learning. + + ), + }, + { + date: "01/23/25", + content: ( + + Added{" "} + + bibfile + {" "} for book and + + LaTeX + {" "} + for all equations + + ), + }, + { + date: "12/17/24", + content: ( + + + + Video lectures + {" "} + for chapters 1-12 from Tamer Elsayed of Qatar University. + + ), + }, + { + date: "12/05/24", + content: ( + + New{" "} + + blog + {" "} + on Neural network Gaussian processes + + ), + }, { date: "11/14/24", @@ -272,8 +302,8 @@ export default function HeroSection() { Book Cover - - Download full PDF (21 November 2024) + + Download full PDF (26 March 2025)
- Video lectures - - Video lectures - {" "} for chapter 1-12 from Tamer Elsayed + Video lectures + + + diff --git a/src/components/More/index.jsx b/src/components/More/index.jsx index 8d76e80..fbe65ce 100755 --- a/src/components/More/index.jsx +++ b/src/components/More/index.jsx @@ -709,6 +709,50 @@ const responsibleAI = [ }, ]; +const ODESDE = [ + { + text: "ODEs and SDEs in machine learning", + link: "https://rbcborealis.com/research-blogs/odes-and-sdes-for-machine-learning/", + details: [ + "ODEs", + "SDEs", + "ODEs and gradient descent", + "SDEs in stochastic gradient descent", + "ODEs in residual networks", + "ODEs and SDES in diffusion models", + "Physics-informed machine learning", + ], + }, + { + text: "Introduction to ODEs", + link: "https://rbcborealis.com/research-blogs/introduction-ordinary-differential-equations/", + details: [ + "What are ODEs?", + "Terminology and properties", + "Solutions", + "Boundary conditions", + "Existence of solutions", + ], + }, + { + text: "Closed-form solutions for ODEs", + link: "https://rbcborealis.com/research-blogs/closed-form-solutions-for-odes/", + details: [ + "Validating proposed solutions", + "Class 1: Right-hand side is a function of t only", + "Class 2: Linear homogeneous", + "Class 3: right-hand side is function of x alone", + "Class 4: Right-hand side is a separable function of x and t", + "Class 5: Exact ODEs", + "Class 6: linear inhomogeneous ODEs", + "Class 7: Euler homogeneous", + "Vector ODEs", + "The matrix exponential" + ], + }, +] + + export default function MoreSection() { return ( <> @@ -859,6 +903,23 @@ export default function MoreSection() { ))} + ODEs and SDEs in machine learning + + {ODESDE.map((item, index) => ( +
  • + + {item.text} + + + + {item.details.map((detail, index) => ( +
  • {detail}
  • + ))} + + + + ))} +