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Make a deal with Ian Goodfellow
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
378K
Posts
3K
Following
1.4K
Account age
9 yrs
💰 Suggested sponsorship rate
$2.1K – $3.4K / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Ian Goodfellow
📊 Post performance
368.3K
Avg views / post
97.4%
Reach vs followers
Sep 2016
On X since
🔥 Top post: When Schmidhuber interrupted my talk on GANs in 2016, he did so · 755.2K views
📊 Activity & format
Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 1 video · 6 image · 11 text.
Follower / following
277×
Follows 1.4K back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.
Recent posts
View on X ↗
More of what my colleagues and I have been working on in AI for fusion is public now
Schmidhuber was a reviewer of the GAN paper in 2014. The reviews are public. He is the reviewer that asked us to cite predictability minimization. He did not ask us to cite artificial creativity (his current complaint). He hadn’t thought o…
Posting a call for help: does anyone know of a good way to simultaneously treat both POTS and Ménière’s disease? Please contact me if you’re either a clinician with experience doing this or a patient who has found a good solution. Context …
I'm excited to announce that I've joined DeepMind! I'll be a research scientist in @OriolVinyalsML 's Deep Learning team.
This exciting new PyTorch library includes quite a lot of the GANs I've featured in my talks over the past few years, all in one place!
I’m in Fortune’s 40 under 40:
Whoa! It turns out that famous examples of NLP systems succeeding and failing were very misleading. “Man is to king as woman is to queen” only works if the model is hardcoded not to be able to say “king” for the last word.
ML Twitter, what are your favorite papers / other resources about the class imbalance problem?
OctConv is a simple replacement for the traditional convolution operation that gets better accuracy with fewer FLOPs https://t.co/5CSylHVdA2
4.5 years of GAN progress on face generation. https://t.co/kiQkuYULMC https://t.co/S4aBsU536b https://t.co/8di6K6BxVC https://t.co/UEFhewds2M https://t.co/s6hKQz9gLz
4 years of GAN progress (source: https://t.co/hlxW3NnTJP )
OctConv is a simple replacement for the traditional convolution operation that gets better accuracy with fewer FLOPs https://t.co/5CSylHVdA2
4.5 years of GAN progress on face generation. https://t.co/kiQkuYULMC https://t.co/S4aBsU536b https://t.co/8di6K6BxVC https://t.co/UEFhewds2M https://t.co/s6hKQz9gLz
4 years of GAN progress (source: https://t.co/hlxW3NnTJP )
💡 Facts
🗓️Joined X in 2016 — 9 years ago.
👁️Averages 368.3K views per post.
📤Posts about 0× per week.
💬0.81% engagement rate.
🏅Earned the 100K Followers for passing 100K followers.
🕵️ Fake follower check
Estimated69/100
Good
Credibility score
85%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 85% real, active audience · Low fake-follower risk.
- Engagement (~1× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (9+ years old).
- 0.81% engagement — below the ~14.4% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Co-founder of stealth startup. Inventor of GANs. Lead author of http://www.deeplearningbook.org Founding chairman of @pubhealthaction
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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हिन्दी पंक्तियाँ
10%
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