Intensive Teaching · September 2026

The most important things

Before: Join the Iliad Discord and check you can see #intensive-september. That is where you post any material you need to share with participants. If you can't see it, tell Leonard (@leonardbereska on Discord).
During: At 17:40, make sure everyone fills out the feedback form.
After: Fill out the end-of-day log: rate the day and tell us anything that went wrong.
Fill out Who stood out: name anyone who made a positive impression.

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Your days

[B.5]Data Attribution Thu 1 Oct, leading 15 responses · energy 3.5/5

Overall +0.14 as expected n = 14

Content +0.36 better than expected n = 14

Clarity +0.07 as expected n = 14

Motivation +0.43 better than expected n = 14

Exercises 0.00 as expected n = 12

Readings +0.38 better than expected n = 13

Other activities 0.00 as expected n = 4

Pace +0.14 about right n = 14

Difficulty -0.07 about right n = 14

Novelty +1.14 mostly new n = 14

Read what they wrote23

Worked well6

Speakers were clear.
The materials are very clean
Paper selection -- just incredible. As well as exercises and concepts. Very physics-coded
the exercises were instructive and let us go over the main concepts.
I think the lecture notes were written well and the material is compelling. I just would have wanted more time to think about these ideas!
Unifying influence functions with singular learning theory.

Would improve11

Share slides in during presentation or in advance so they can be annotated. Liked the chain diagram in presentation Feedback on Notes In section 1.4, is xi input and zi output, what is d_p, what is supposed to be p ? Missing y in “This question is typicall split into two parts:” in notes Some of the equations at the start of section 2 are not labelled.
It felt like there was actually no teaching and we had to read everything ourselves. Might be related to the fact that the speaker was online.
Interesting, but more lectures would have been better. Materials can be read at home.
Actually, a pretty nice day
I guess it was an exceptional situation today, so I don't think I could give really good feedback
In the notes, the total loss is sometimes averaged? Needs to be made more coherent maybe?
The notes were generally quite good and readable. I suppose I would've liked them to position Section 2.2 and the PBO more clearly as "here are some ad-hoc concessions practitioners make to reality" rather than "here is the correct and mathematically justified fix to a technical problem". Also, I thought unrolling was substantially more interesting than influence functions, so I might've liked to spend more time on it.
I think everything was pretty clear, and we got a good overview from the lectures but perhaps could have gone into more depth into a few things. This was understandably made more difficult by things being cut short.
Scaling limits of Hessian-inverse approximations.
make online lectures possible to listen on people's own device: the lecture area is too crowded and the screen is too small
I would have liked to learn more about the material and was sorry that this material was on a day that's been cut short

Changed my mind3

n/a
This might be the most important topic there is. From unlearning and ablation to narrow misalignment. Albeit it does run a risk of becoming needlessly mathematized, losing connection with reality
Attribution in deep models breaks down exactly at singularities.

Other thoughts3

n/a
Forgot to mention about the previous day with Ashe -- choosing our own agenda was awesome. In fact, it did make me think that Logical Induction might be a promising approach.
Clear, elegant math and great presentation.

The day

10:00 Lecture starts

12:30 Lunch at LISA

13:30 Afternoon session

17:40 Feedback form

18:00 Day ends. Dinner at LISA

When	Where
Mon 7 Sep	LISA, 25 Holywell Row, London EC2A 4XE
Tue 8 – Mon 14 Sep	23 Curtain Road, London EC2A 3LT
From Tue 15 Sep	69 Wilson Street, Moorgate, London EC2A 2BB

Resources

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