Mohammad Hossein Rohban Profile
Mohammad Hossein Rohban

@MhRohban

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Associate Professor in Computer Science @ Sharif University of Technology

Joined March 2013
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@MhRohban
Mohammad Hossein Rohban
3 days
We are honored to host Prof. Sutton in this week Wednesday at Sharif. Please sign up if you’re interested:
@DeepRLCourse
Deep RL Course
4 days
This week, we have the honor of hosting Richard Sutton as our guest speaker. Thank you @RichardSSutton.
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@MhRohban
Mohammad Hossein Rohban
12 days
RT @TrackingActions: 🔥🙏🏼 #AROS 💍 is accepted to #ICLR2025 @iclr_conf ! So proud of @hsirm96 - what an awesome way to kick off his first gr…
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@MhRohban
Mohammad Hossein Rohban
21 days
Looking forward to see insightful work submitted to this workshop.
@SCSLWorkshop
Spurious Correlation & Shortcut Learning Workshop
21 days
🚨 Workshop on Spurious Correlation & Shortcut Learning at ICLR 2025! 📝 Submission Deadline: 10 February (AoE) 🔗 Submit here: Tracks: - Regular: Up to 6 pages (excl. appendix & refs) - Tiny: 3 pages More details: #ICLR2025
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@MhRohban
Mohammad Hossein Rohban
1 month
RT @mirrokni: I am very excited about this new paper and more generally this line of work. See Ali's detailed description of how adding thi…
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@MhRohban
Mohammad Hossein Rohban
1 month
RT @fchollet: Pragmatically, we can say that AGI is reached when it's no longer easy to come up with problems that regular people can solve…
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@MhRohban
Mohammad Hossein Rohban
1 month
RT @MahdiGhaznavi78: 🎉 The holidays are over—get ready to share your groundbreaking research! 🚨 Submit to the SCSL Workshop: 1️⃣ New spuri…
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@MhRohban
Mohammad Hossein Rohban
2 months
@shahriarshm Yes, but I am saying that it doesn’t lead to AGI.
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@MhRohban
Mohammad Hossein Rohban
2 months
@yassersouri I agree this has been repeated in the last two decades, but I meant this for foundation models and solving the benchmark in a *single* round and in a short time period.
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@MhRohban
Mohammad Hossein Rohban
2 months
Referring to this:
@GaryMarcus
Gary Marcus
2 months
Important words from @fchollet: “it is important to note that ARC-AGI is not an acid test for AGI – as we've repeated dozens of times this year. It's a research tool designed to focus attention on the most challenging unsolved problems in AI, a role it has fulfilled well over the past five years. Passing ARC-AGI does not equate to achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet. o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence. Furthermore, early data points suggest that the upcoming ARC-AGI-2 benchmark will still pose a significant challenge to o3, potentially reducing its score to under 30% even at high compute (while a smart human would still be able to score over 95% with no training)”
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@MhRohban
Mohammad Hossein Rohban
2 months
RT @DavidSKrueger: Looking forward to speaking at this workshop on Spurious Correlationa and Shortcut Learning at ICLR 2025! I was very in…
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@MhRohban
Mohammad Hossein Rohban
2 months
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@MhRohban
Mohammad Hossein Rohban
2 months
RT @_philschmid: How we implemented test-time computing for open models to solve complex math problems like @OpenAI o1. 👀  Test-time compu…
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@MhRohban
Mohammad Hossein Rohban
2 months
RT @furongh: Can AI learn to improve itself? 🤖🔄 Supervising models that outperform humans is hard—so what if weaker AIs taught stronger AIs…
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@MhRohban
Mohammad Hossein Rohban
2 months
RT @furongh: I saw a slide circulating on social media last night while working on a deadline. I didn’t comment immediately because I wante…
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