Deep Learning seminar calendar

October 2026

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28

29

20:00Learning the Regulatory Code with AI

30

15:00The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks 16:00Machine Learning with Hard Constraints

1

19:00[Scale ML] Alok Puranik: Sequence Weighting at Scale

2

20:30Graph Neural Networks and Foundation Models for Complex Networks

3

4

5

6

7

14:00Double Descent, Overparametrization and Scaling Laws in Particle Physics Data 18:00Big Boxes, Not Black Boxes: What we can compute about LLMs, and what it may say about AGI 18:00Large-Scale Multilingual Evaluation of Large Language Models on Real-World Clinical Data

8

9

10

11

12

13

14

12:00Vision transformer models for predicting neural responses: insights and challenges

15

16

17

18

19

20

03:00Learning Compatible Representation 20:30A Riemannian Geometry Perspective on Foundation Models

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24

25

26

27

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31

Wednesday, October 14

12:00 UTCVision transformer models for predicting neural responses: insights and challengesArno Onken · University of Edinburgh, School of InformaticsNeuroscience

Tuesday, October 20

03:00 UTCLearning Compatible RepresentationAlberto Del Bimbo · Department of Information Engineering, University of Firenze, ItalyArtificial Intelligence
20:30 UTCA Riemannian Geometry Perspective on Foundation ModelsRex Ying · Yale UniversityMachine Learning

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