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Channel

DL in biology

@ml_bio

On this record: Topic · Growth · Engagement · Posts · Polls · Handles named that no longer answer · Cite this entry

572subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001365910152
TypeChannel
Username@ml_bio
Created5 September 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live6 October 2026
Measurements held7
Confirmed unchanged1 time, most recently 6 October 2026
On Telegramt.me/ml_bio

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

5725765747 August 2026 — 576 subscribers8 August 2026 — 576 subscribers21 August 2026 — 575 subscribers27 August 2026 — 576 subscribers12 September 2026 — 575 subscribers26 September 2026 — 574 subscribers6 October 2026 — 572 subscribers7 August 20266 October 2026
7 measurements spanning 60 days, net -4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 571–577 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 14:38572-2
26 Sept 2026, 09:19574-1
12 Sept 2026, 07:20575-1
27 Aug 2026, 21:03576+1
21 Aug 2026, 09:27575-1
8 Aug 2026, 03:30576no change
7 Aug 2026, 19:55576first reading

Engagement

20 posts held, back to 15 January 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 May 2021. An engagement rate over an empty window would be a number about nothing.

Recent posts

9 May 2021, 16:26 UTC≈2,800 viewsread 8 August 2026
Photo

Photo, posted without a caption

Signed Зоя Червонцева

9 May 2021, 16:25 UTC≈2,780 viewsread 8 August 2026

Relation-Guided Representation Learning Текст: https://www.sciencedirect.com/science/article/abs/pii/S0893608020302550 Код: https://github.com/nbShawnLu/RGRL Автоэнкодеры часто используют для уменьшения размерности данных. При уменьшении размерности хочется, чтобы похожие образцы отображались в близкие точки, а не похожие — в далекие. Однако стандартные процедуры обучения энкодеров этого в явном виде не гарантируют…

Signed Зоя Червонцева

3 Apr 2021, 10:37 UTC≈2,310 viewsread 8 August 2026
File

Запись вчерашнего семинара. Презентация приложена.

Signed Зоя Червонцева

2 Apr 2021, 12:32 UTC≈2,140 viewsread 8 August 2026

Напоминаем, что сегодня в 18:00 будет продолжение семинара про байесовские методы. Ссылка на зум.

Signed Зоя Червонцева

29 Mar 2021, 16:55 UTC≈2,540 viewsread 8 August 2026
File

Запись и презентация предыдущего семинара. Успели очень немного, поэтому в эту пятницу в 18:00 будет вторая часть, в начале которой тезисно повторим первую.

Signed Зоя Червонцева

26 Mar 2021, 08:23 UTC≈2,520 viewsread 8 August 2026

Напоминаем, что сегодня в 18:00 будет семинар про байесовские методы. Ссылка на зум.

Signed Зоя Червонцева

18 Mar 2021, 10:22 UTC≈2,710 viewsread 8 August 2026

В следующую пятницу 26 марта в 18:00 Борис Бурков расскажет о методах оценки неопределенности предсказания нейросетей при помощи байесовских методов (вдогонку прошлому докладу про байесовский вариационный автокодировщик) по мотивам работ Ярина Гала и Зубина Гарамани. Концепция вариационного дропаута построена на ряде идей-пререквизитов, и для раскрытия требует достаточно серьезной артподготовки. Поэтому программа-ма…

Signed Зоя Червонцева

7 Feb 2021, 13:57 UTC≈2,190 viewsread 8 August 2026

Завтра в 18:10 будет онлайн-семинар на ФКН ВШЭ. Обещают два доклада, первый про использование механизма внимания для предсказания вторичной структуры ДНК, а второй — про динамику репостов в соцсетях. https://aspirantura.hse.ru/en/cs/announcements/440391999.html

Signed Зоя Червонцева

3 Feb 2021, 18:51 UTC≈1,960 viewsread 8 August 2026

Instance-level contrastive learning yields human brain-like representation without category-supervision Текст: https://www.biorxiv.org/content/10.1101/2020.06.15.153247v1 Неожиданный бенчмарк архитектур и способов их обучения. Авторы проверили, насколько представления картинок, выученные нейросетями, похожи на те, что формируются в зрительной коре человеческого мозга. Сетки разных архитектур (Alexnet, Resnet, Corn…

Signed Зоя Червонцева

31 Jan 2021, 15:38 UTC≈1,560 viewsread 8 August 2026

Запись семинара про эволюционную информацию. Часть первая, часть вторая. Слайды вот.

Signed Зоя Червонцева

29 Jan 2021, 15:00 UTC≈1,530 viewsread 8 August 2026

Ссылка на сегодняшний семинар про использование эволюционной информации в DL. В программе Байесовский вариационный автоэнкодер для предсказания эффекта мутаций и contrastive learning на белках в реализации SimCLR. Начало в 19:00.

Signed Зоя Червонцева

28 Jan 2021, 07:24 UTC≈1,690 viewsread 8 August 2026
Poll

Разобрать подробнее на семинаре?

  1. Да78%
  2. Нет22%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Signed Lisa Grigorashvili

Showing the 12 most recent of 20 posts we hold for @ml_bio. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

28 Jan 2021, 07:24 UTCAnonymous Poll88 voters

Разобрать подробнее на семинаре?

  1. Да78%
  2. Нет22%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

15 Jan 2021, 20:27 UTCAnonymous Poll100 voters

Сделать семинар с разбором формул?

  1. сделать81%
  2. сразу прогать15%
  3. в топку4%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 15 January 2021 to 9 May 2021. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 October 2026 — this entry's latest reading, not the date you are reading this.

“DL in biology” (@ml_bio), 572 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/ml_bio.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.