Adrian Hill

@adrianhill.de

770 Followers 733 Following

PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de

Photo of thebes' "puking shoggoth claudemoji" sticker on the back of a computer monitor.

| Phrase 1 | Phrase 2 |
|----------|----------|
| "The study's key area pertains to" | "The research studies the aspect" |
| "The submission attempts to study a notable area" | "The authors seek to present a broad context" |
| "The article's principal topic pertains to" | "The authors seek to present a critical issue" |
| "The submission claims to consider the domain" | "The authors present a notable topic" |
| "This research claims to examine a general domain" | "Overall, the authors address an important context" |
| "Overall, this submission's important contribution comprises" | "A central context discussed by the paper" |

6 y.o. comment section of a goodreads review of "Compilers: Principles, Techniques, and Tools" (aka the Dragon Book):

> Now that it's been five years since you wrote this review, do you feel there's a better book out there as a good overview of compilers?

> A couple months after writing this review I quit programming/IT for moral reasons and decided to focus on woodworking instead. Not even kidding. I highly recommend it!

Photo of a ThinkPad x220 running macOS.

Proof of concept for a Typst poster with a two-column layout and the entire code that produces it:

```typst
// Poster Template
#set page("a0", flipped: true,
columns: 2,
margin: 3cm,
background: rect(fill: blue, width: 100%, height: 100%),
)
#set columns(gutter: 2cm)
#set par(spacing: 2cm)
#set text(font: "Helvetica", size: 90pt)
#set rect(width: 100%, inset: 1cm, fill: white)

// Content
#place(top, scope: "parent", float: true, clearance: 2cm,
rect(height: 8cm)[Title],
)

#rect(height: 1fr)[Panel 1]
#rect(height: 1fr)[Panel 2]
#rect(height: 1fr)[Panel 3]
#colbreak()

#rect(height: 3fr)[Panel 4]
#rect(height: 2fr)[Panel 5]

#place(bottom, scope: "parent", float: true, clearance: 2cm,
rect(height: 5cm)[Footer],
)
```

An Ominum Mini Cargo Bike with a sticker-bombed mudguard.

A variety of plots drawn with unicode characters, as rendered by the "UnicodePlots.jl" package. Includes line-, scatter–, contour- and box-plots, histograms and heatmaps among others.

Screenshot from Twitter of the Typst team writing:
"arXiv allows PDFs if you did not create them with LaTeX: https://info.arxiv.org/help/submit_pdf.html"

My BlueSky feed; filled with three mentions of Overleaf being down due the upcoming NeurIPS deadline.

Marcel dipping a t-shirt into a vat of indigo dye.

Indigo dyed t-shirt that reads “Off the screen, on the saddle”.

A conference poster at ICLR 2025 titled “Fast Jacobians and Hessians by leveraging sparsity”.

Image of the Singapore pavilion at the World Expo in Osaka.

Soldering 72 tiny PCBs to build the keyboard matrix.

Two halves of a 3D printed ergonomic split keyboard surrounding pain relief gel.

Performance comparison of AD and ASD Jacobian computations on the Brusselator PDE.

A part of the derivation of the second-order propagation rules.

Jacobian sparsity pattern of a discretized Brusselator PDE, with colors resulting from greedy column coloring.

Figure comparing automatic differentiation (AD) and automatic sparse differentiation (ASD).

(a) Given a function f, AD backends return a function computing vector-Jacobian products (VJPs). (b) Standard AD computes Jacobians row-by-row by evaluating VJPs with all standard basis vectors. (c) ASD reduces the number of VJP evaluations by first detecting a sparsity pattern of non-zero values, coloring orthogonal rows in the pattern and simultaneously evaluating VJPs of orthogonal rows. The concepts shown in this figure directly translate to forward-mode, which computes Jacobians column-by-column instead of row-by-row.

Examples of optimal tours.

Cover of the book "OPT Art: From Mathematical Optimization to Visual Design" by Robert Bosch.