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2 Commits

Author SHA1 Message Date
aad8479a89 test 2025-04-01 13:12:20 -04:00
d9510470cd vault backup: 2025-04-01 13:01:58 2025-04-01 13:01:58 -04:00
5 changed files with 74 additions and 2 deletions

4
.gitignore vendored
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@ -1,8 +1,8 @@
.obsidian/plugins/obsidian-pandoc-reference-list/data.json .obsidian/plugins/obsidian-pandoc-reference-list/data.json
.obsidian/workspace.json .obsidian/workspace.json
.sessions
# Ignore Smart Environment folder # Ignore Smart Environment folder
.smart-env .smart-env

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@ -3,7 +3,11 @@ let s:so_save = &g:so | let s:siso_save = &g:siso | setg so=0 siso=0 | setl so=-
let v:this_session=expand("<sfile>:p") let v:this_session=expand("<sfile>:p")
silent only silent only
silent tabonly silent tabonly
<<<<<<< HEAD
cd ~/Documents/Dane\'s\ Vault/5\ Thesis
=======
cd ~/Documents/Dane\'s\ Vault cd ~/Documents/Dane\'s\ Vault
>>>>>>> origin/master
if expand('%') == '' && !&modified && line('$') <= 1 && getline(1) == '' if expand('%') == '' && !&modified && line('$') <= 1 && getline(1) == ''
let s:wipebuf = bufnr('%') let s:wipebuf = bufnr('%')
endif endif
@ -13,6 +17,15 @@ if &shortmess =~ 'A'
else else
set shortmess=aoO set shortmess=aoO
endif endif
<<<<<<< HEAD
badd +16 4\ Meetings/DGC_DAS_328.md
badd +32 5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md
argglobal
%argdel
edit 5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md
argglobal
balt 4\ Meetings/DGC_DAS_328.md
=======
badd +16 5\ Thesis/4\ Meetings/DGC_DAS_328.md badd +16 5\ Thesis/4\ Meetings/DGC_DAS_328.md
badd +4 5\ Thesis/5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md badd +4 5\ Thesis/5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md
argglobal argglobal
@ -20,6 +33,7 @@ argglobal
edit 5\ Thesis/5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md edit 5\ Thesis/5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md
argglobal argglobal
balt 5\ Thesis/4\ Meetings/DGC_DAS_328.md balt 5\ Thesis/4\ Meetings/DGC_DAS_328.md
>>>>>>> origin/master
setlocal fdm=manual setlocal fdm=manual
setlocal fde=0 setlocal fde=0
setlocal fmr={{{,}}} setlocal fmr={{{,}}}
@ -30,12 +44,21 @@ setlocal fdn=20
setlocal fen setlocal fen
silent! normal! zE silent! normal! zE
let &fdl = &fdl let &fdl = &fdl
<<<<<<< HEAD
let s:l = 11 - ((10 * winheight(0) + 27) / 55)
if s:l < 1 | let s:l = 1 | endif
keepjumps exe s:l
normal! zt
keepjumps 11
normal! 058|
=======
let s:l = 13 - ((12 * winheight(0) + 36) / 73) let s:l = 13 - ((12 * winheight(0) + 36) / 73)
if s:l < 1 | let s:l = 1 | endif if s:l < 1 | let s:l = 1 | endif
keepjumps exe s:l keepjumps exe s:l
normal! zt normal! zt
keepjumps 13 keepjumps 13
normal! 0 normal! 0
>>>>>>> origin/master
tabnext 1 tabnext 1
if exists('s:wipebuf') && len(win_findbuf(s:wipebuf)) == 0 && getbufvar(s:wipebuf, '&buftype') isnot# 'terminal' if exists('s:wipebuf') && len(win_findbuf(s:wipebuf)) == 0 && getbufvar(s:wipebuf, '&buftype') isnot# 'terminal'
silent exe 'bwipe ' . s:wipebuf silent exe 'bwipe ' . s:wipebuf

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@ -11,3 +11,26 @@ This review seems to talk a good bit about that.
than other types of programming. Things such as computer vision and decision than other types of programming. Things such as computer vision and decision
making are very difficult to program manually relative to their ML counterpart. making are very difficult to program manually relative to their ML counterpart.
<<<<<<< HEAD
- Abstract interpretation can connect different formal methods that otherwise
would seem disjoint, according to these authors.
- They spend a lot of pages (~15) on *formal methods for neural networks*.
There are two kinds.
- **Complete Formal Methods** are sound and complete, and can provide
counterexamples where appropriate. That being said, they are not usually
sound on floating point arithmetic and often neglect rounding errors.
- **Incomplete Formal Methods** are generally able to scale to larger
neural networks, and are often sound, but generally suffer from false
positives.
- In comparison, they spend 2 pages on support vector machines and decision
trees :( What did they ever do to you man!
- They also mention that formal methods for data preparation and training are
very much works in progress.
=======
>>>>>>> origin/master

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@ -0,0 +1,8 @@
---
title: Canonical Talk NSH 3305 CMU
allDay: false
startTime: 12:00
endTime: 13:00
date: 2025-04-02
completed: null
---

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@ -0,0 +1,18 @@
# Conflicts
Please resolve them and commit them using the commands `Git: Commit all changes` followed by `Git: Push`
(This file will automatically be deleted before commit)
[[#Additional Instructions]] available below file list
- Not a file: .sessions/Thesis_Notes.vim
- [[A Review of Formal Methods applied to Machine Learning]]
# Additional Instructions
I strongly recommend to use "Source mode" for viewing the conflicted files. For simple conflicts, in each file listed above replace every occurrence of the following text blocks with the desired text.
```diff
<<<<<<< HEAD
File changes in local repository
=======
File changes in remote repository
>>>>>>> origin/main
```