ΑΙhub.org
 

#ICLR2025 social media round-up


by
29 April 2025



share this:

The Thirteenth International Conference on Learning Representations (ICLR 2025) took place in Singapore from 24-28 April 2025. The conference featured 12 invited talks, poster sessions, oral presentations, workshops, and socials. We’ve gathered some social media posts from attendees to give you a flavour of the event.

Come see us in any of the following sessions on model understanding and evaluation! 🔬 #ICLR2025 @msftresearch.bsky.social

[image or embed]

— Besmira Nushi (@besmiranushi.bsky.social) 24 April 2025 at 02:38

#ICLR2025 – setting new frontier for AI Research and Applications

We are live at this year’s @iclrconf in Singapore and learning new benchmarks for the future of #AI and #AGI!

Our initial highlights from keynotes and major announcements are listed below:

[image or embed]

— Data Science Nigeria (@datasciencenigeria.bsky.social) 28 April 2025 at 10:12

If you are at #ICLR2025 and want to chat about automatic sparse differentiation (or just grab a sticker), come see me at poster 471!

[image or embed]

— Adrian Hill (@adrhill.bsky.social) 24 April 2025 at 07:55

Congratulations to Peter Holderrieth @msalbergo.bsky.social and Tommi Jaakkola for winning the best paper award for their work entitled "LEAPS: A discrete neural sampler via locally equivariant networks" at this year's Frontiers in Probabilistic Inference workshop #ICLR2025!

[image or embed]

— Anthony Costa (@anthonybcosta.bsky.social) 28 April 2025 at 05:53

Thrilled to announce that we just presented „MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds“ at #ICLR2025 🧲

@pseudomanifold.topology.rocks @fabiantheis.bsky.social

For those who couldn’t make it to our spotlight: openreview.net/forum?id=5FX…

[image or embed]

— Leon Hetzel (@leonhet.bsky.social) 26 April 2025 at 06:37

Loving this poster session energy! #ICLR2025

[image or embed]

— ICLR Conference (@iclr-conf.bsky.social) 24 April 2025 at 06:34

Had a great time presenting and talking to many of you at #ICLR2025.

[image or embed]

— Sarah Eslami @ ICLR (@esl-sarah.bsky.social) 26 April 2025 at 10:08

Huge thanks to the #ICLR2025 Organizing Committee (including many who couldn't make it to the conference) 👏👏👏

[image or embed]

— ICLR Conference (@iclr-conf.bsky.social) 27 April 2025 at 04:22

That's a wrap for #ICLR2025! See you all next year in Brazil! Please all welcome @bharathhariharan.bsky.social as the new Senior Program Chair! (With @cvondrick.bsky.social continuing on as General Chair.)

[image or embed]

— ICLR Conference (@iclr-conf.bsky.social) 28 April 2025 at 11:34



tags: ,


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.

Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti

  08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.

Scaling up multi-agent systems: an interview with Minghong Geng

  07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence