Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

2,397 searchable experts 4,280 tracked across all sources
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Showing developments with attributable Research & technical analysis reactions.

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Showing signals surfaced by David Picard ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established AI research Resource 3d ago
⚡ 194 h early
ELLIS PhD program 2026 applications open

ELLIS PhD Program: Call for Applications 2026

5 experts across 3 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · ELLIS
“🚨 Apply now for the #ELLISPhD Program! 🎓 Work with leading AI/ML researchers across Europe, with exchange visits & joint supervision. The application deadline is 31 Oct. Get all info & apply now at ellis.eu/news/ellis-p...” evidence ↗
5 experts 3 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Markets & investment

1 expert

Capital, companies and commercial impact.

“Funding schemes: ELLIS - European Laboratory for Learning and Intelligent Systems 31 October 2026 ellis.eu/news/ellis-p... Dependable and Deployable AI for Robotics 27 November 2026 www.cdt-d2air.uk/apply Designing Responsible Natural Language Processing 30…”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“🚨 Apply now for the #ELLISPhD Program! 🎓 Work with leading AI/ML researchers across Europe, with exchange visits & joint supervision. The application deadline is 31 Oct. Get all info & apply now at ellis.eu/news/ellis-p...”

New AI field signal Signal 12h ago
⚡ 7 h early

Rethinking Video Autoencoders for Interactive World Models

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · David Picard
“🚨 New work with Adrien Ramanana, @nicolasdufour.bsky.social, Yutong Bai and Patrick Pérez collab @kyutai-labs.bsky.social CADRE: Rethinking Video Autoencoders for Interactive World Models We investigate what makes a good world model codec 📜 arxiv.org/abs/26…” evidence ↗
2 experts 1 community 1 sources clustered

“🚨 New work with Adrien Ramanana, @nicolasdufour.bsky.social, Yutong Bai and Patrick Pérez collab @kyutai-labs.bsky.social CADRE: Rethinking Video Autoencoders for Interactive World Models We investigate what makes a good world model codec 📜 arxiv.org/abs/26…”

Established AI research Research 14d ago
⚡ 14 h early
subquadratic 3SUM subcubic APSP sparse graphs paper

Truly Subquadratic 3SUM and Truly Subcubic APSP via Triangles in Sparse Lopsided Graphs

3 experts across 2 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · David Picard
“Correct link: arxiv.org/abs/2610.067...” evidence ↗
3 experts 2 communities 1 sources clustered

“Correct link: arxiv.org/abs/2610.067...”

Established AI field signal Signal 3d ago
⚡ 9 h early

Dino Forcing Flow Models: Do not denoise what you can predict

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · David Picard
“🚨 New preprint: "Dino Forcing Flow Models: Do not denoise what you can predict" @arrijitghosh.bsky.social @lucasdegeorge.bsky.social P. Couairon, A.A. Efros, @vickykalogeiton.bsky.social and me 📜 arxiv.org/abs/2610.11751 🖥️ arijit-hub.github.io/projects/din…” evidence ↗
2 experts 2 communities 1 sources clustered

“🚨 New preprint: "Dino Forcing Flow Models: Do not denoise what you can predict" @arrijitghosh.bsky.social @lucasdegeorge.bsky.social P. Couairon, A.A. Efros, @vickykalogeiton.bsky.social and me 📜 arxiv.org/abs/2610.11751 🖥️ arijit-hub.github.io/projects/din…”

Developing AI research Research 1d ago
⚡ 3 h early
predict-project-renoise diffusion hard constraints paper

Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Gilles Louppe
“Today my PhD student (for one last day) @orochman.bsky.social is defending his thesis on neural emulators. Check out his latest paper on sampling diffusion models under hard constraints arxiv.org/abs/2601.21033 (NeurIPS 2026)” evidence ↗
2 experts 1 community 1 sources clustered

“Today my PhD student (for one last day) @orochman.bsky.social is defending his thesis on neural emulators. Check out his latest paper on sampling diffusion models under hard constraints arxiv.org/abs/2601.21033 (NeurIPS 2026)”

Established Models & releases Research 16d ago
⚡ 11 h early
recurrent looped transformer architecture paper

Recurrent Looped Transformer

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Christian Wolf
“Recurrent Looped Transformer Zhang et al. Combine context/history transformer with recurrence: have a causal encoder with a recurrent decoder. arxiv.org/abs/2610.07591” evidence ↗
2 experts 2 communities 1 sources clustered

“Recurrent Looped Transformer Zhang et al. Combine context/history transformer with recurrence: have a causal encoder with a recurrent decoder. arxiv.org/abs/2610.07591”

Developing AI research Resource 1d ago
MICCAI PhD positions structure-aware ML announced

Two PhD Positions in Structure-Aware Machine Learning - MICCAI Society

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · ELLIS
“🏹 Job alert: 2 PhD Researchers in Machine Learning & Medical Image Analysis at Scads AI, Leipzig University 📍 Leipzig 🇩🇪 ⏰ 31 December 🔗 https://bit.ly/4z2MSyk” evidence ↗
2 experts 2 communities 2 sources clustered

“🏹 Job alert: 2 PhD Researchers in Machine Learning & Medical Image Analysis at Scads AI, Leipzig University 📍 Leipzig 🇩🇪 ⏰ 31 December 🔗 https://bit.ly/4z2MSyk”

Established AI research Research 9d ago
⚡ 6 h early
RNN homunculus long-term memory gating paper

The RNN Homunculus: Learning to Gate Long-Term Memory

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · jvgemert.bsky.social
“I really enjoy finding gaps in our understanding of text-book deep learning. The RNN Homunculus: Long-range input vanishes RNN gradients. Gates (GRU, LSTM) help, but gates are themselves an RNN. Ie: gates are not sufficient. We need short-range data to lear…” evidence ↗
2 experts 1 community 1 sources clustered

“I really enjoy finding gaps in our understanding of text-book deep learning. The RNN Homunculus: Long-range input vanishes RNN gradients. Gates (GRU, LSTM) help, but gates are themselves an RNN. Ie: gates are not sufficient. We need short-range data to lear…”

Established AI field signal Signal 14d ago
⚡ 3188 h early

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Phillip Isola, David Picard
“These results surprised me. There's more to do to fully understand which structures align! Here are some great readings on other perspectives: * local relational: arxiv.org/abs/2602.14486 * coarse-grained: arxiv.org/abs/2604.18572 * global relational: arxiv…” evidence ↗
2 experts 1 community 1 sources clustered

“These results surprised me. There's more to do to fully understand which structures align! Here are some great readings on other perspectives: * local relational: arxiv.org/abs/2602.14486 * coarse-grained: arxiv.org/abs/2604.18572 * global relational: arxiv…”

Established AI research Resource 8d ago
ELLIS PhD 2026 applications open

ELLIS PhD Program: Call for Applications 2026

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · ELLIS
“🎓 Work with TWO leading European researchers across borders while you achieve your research and career goals in the #ELLISPhD Program! Check out the value Dominika Długosz sees in joint supervision. Apply now to start your PhD in 2027 at https://bit.ly/3TrH…” evidence ↗
2 experts 2 communities 1 sources clustered

“🎓 Work with TWO leading European researchers across borders while you achieve your research and career goals in the #ELLISPhD Program! Check out the value Dominika Długosz sees in joint supervision. Apply now to start your PhD in 2027 at https://bit.ly/3TrH…”

Established Evaluation & benchmarks Research 17d ago
⚡ 10 h early
hyperparameter tuning on test set paper

On Hyperparameter Tuning on the Test Set

3 experts are actively discussing the implications.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · jvgemert.bsky.social
“In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902” evidence ↗
2 experts 1 community 1 sources clustered

“In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902”

3 experts discussed this · 6 posts
jvgemert.bsky.social: In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902
David Picard: In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902
David Picard: Joining the heresy, I see... But in all seriousness, I think the observation you make that test-tuning is just a uniform boost (fig 3) is an important lesson of deep learning (interpolation thresho…
Open the full discussion →
Established AI research Research 7d ago
weight averaging code RL frontiers paper

Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · David Picard
“Funnily enough, I had this discussion with Benjamin Negrevergne earlier this week (during his habilitation, amazing talk btw) on one of his recent paper with people from Meta: arxiv.org/abs/2605.28751 In this, they show a trade-off between precision and rec…” evidence ↗
1 expert 1 community 1 sources clustered

“Funnily enough, I had this discussion with Benjamin Negrevergne earlier this week (during his habilitation, amazing talk btw) on one of his recent paper with people from Meta: arxiv.org/abs/2605.28751 In this, they show a trade-off between precision and rec…”

Established AI field signal Signal 14d ago

Inverting scientific images with deep generative models

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Gilles Louppe
“My AI4Sci 2026 keynote on how diffusion models can solve inverse problems in science glouppe.github.io/talk-ai4sci-... featuring several projects from our research group 🤓” evidence ↗
2 experts 1 community 1 sources clustered

“My AI4Sci 2026 keynote on how diffusion models can solve inverse problems in science glouppe.github.io/talk-ai4sci-... featuring several projects from our research group 🤓”

Established AI field signal Analysis 18d ago
Pierre Marion AI research future essay

Pierre Marion - The Future of Research in the Age of AI

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Francis Bach
“Frontier AI models are impacting us (researchers) in ways that we collectively need to make sense of. My colleague Pierre Marion has nicely put down his thoughts in writing in this insightful blog post. Enjoy! pierremarion23.github.io/thoughts/202...” evidence ↗
2 experts 1 community 1 sources clustered

“Frontier AI models are impacting us (researchers) in ways that we collectively need to make sense of. My colleague Pierre Marion has nicely put down his thoughts in writing in this insightful blog post. Enjoy! pierremarion23.github.io/thoughts/202...”

Established Vision & synthetic media Signal 15d ago

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · David Picard
“What a weird acknowledgment. I've seen companies doing that in the past, but that's a first for a theoretical CS paper by academics. I don't think there is any opinion in that paper. Is it because of Anthropic? (paper: arxiv.org/abs/2506.07977 lowers the co…” evidence ↗
1 expert 1 community 1 sources clustered

“What a weird acknowledgment. I've seen companies doing that in the past, but that's a first for a theoretical CS paper by academics. I don't think there is any opinion in that paper. Is it because of Anthropic? (paper: arxiv.org/abs/2506.07977 lowers the co…”

What experts are discussing without an anchoring article

3 experts · 5 posts · 3d ago
Matches Research & technical analysis
“One solution: normalize desk-rejections. After a fast first assessment, papers are either desk-rejected, or go to full review. The current conf peer-review system has desk rejects as the exception,…” evidence ↗
Shared emphasis Research & technical analysis · 2
Clément Canonne: One solution: normalize desk-rejections. After a fast first assessment, papers are either desk-rejected, or go to full review. The current conf peer-review system has desk rejects as the exception,…
Clément Canonne: It does sting to get a desk rejection after one week. What else does? Waiting 4+ months for the same rejection, with a 2-line review (or, worse, an entirely AI-generated one). If you're not going t…
Open the thread →
3 experts · 5 posts · 17d ago
Matches Research & technical analysis
“6 papers to review for ICLR. Fair game. It's a lot, but I understand I have to contribute, sure. But 16 days to do it is just bad. I won't be able to deliver the best review I can do in such a shor…” evidence ↗
Reaction converging Research & technical analysis · 3
David Picard: 6 papers to review for ICLR. Fair game. It's a lot, but I understand I have to contribute, sure. But 16 days to do it is just bad. I won't be able to deliver the best review I can do in such a shor…
Christian Wolf: I have only 3 but now I receive invites from ACs to receive additional papers.... ?!?
Open the thread →
2 experts · 9 posts · 20d ago
Matches Research & technical analysis
“Ça fait quelque temps (2/3 ans) que je fais de la modération pour arXiv sur la catégorie stat.ML. L'été a été tranquille comme d'hab mais cette rentrée est y'a effectivement trois fois plus de taff…” evidence ↗
Multiple readings Policy & governance · 1 Research & technical analysis · 1
David Picard: Il faut regarder par catégorie. Le gros de l'exp vient de CS.LG, CS.CV et CS.CL c'est à dire l'IA moderne.
David Picard: Ce sont les deadlines des conférences de ML
Open the thread →