Kreiman Lab

READING MATERIALS

01/28/2025 Gabriel Kreiman Neuroscience-Inspired Artificial Intelligence. Hassabis et al. Neuron 2017

02/04/2025 Richard Born
Illusions, delusions, and your Backwards Bayesian Brain: A Biased Visual Perspective. Born et al. Brain, Behavior, and Evolution 2021

Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences. Ponce et al. Cell 2019

02/11/2025 Haim Sompolinsky
The Geometry of Concept Learning

02/18/2025 Thomas Serre Deep Learning: The Good, the Bad, and the Ugly. Serre, Annual Review of Vision 2019.

02/25/2025 Bill Lotter Deep predictive coding networks for video prediction and unsupervised learning. Lotter et al, ICLR 2017

03/04/2025 Tomer Ullman
Mind games: Game engines as an architecture for intuitive physics. Ullman et al. TICS 2017

Bayesian models of conceptual development: learning as building models of the world. Ullman et al. Ann. Rev. Psychology 2020

03/11/2025 Isaac Kohane TBD

03/18/2025 No class (spring break)
Read a classic during Spring Break. Alan Turing: Computing machinery and intelligence (1950)

And/or read a fun book. Brain Christian: The most human human. What talking with comptuers teaches us about what it means to be alive (1984).

03/25/2025 Cass Sunstein Sunstein. Artificial intelligence and the first amendment (2023)

04/01/2025 Trenton Bricken Bricken T, Schaeffer R, Olshausen B, Kreiman G. (2023) Emergence of sparse representations from noise. International Conference on Machine Learning (ICML). PDF
Bricken T, Davies A, Singh D, Krotov D, Kreiman G. (2023) Sparse distributed memory is a continual learner. International Conference on Learning Representations (ICLR) PDF

04/08/2025 Jan Drugowitsch
Pouget, Beck, Ma & Latham (2013). Probabilistic brains: knowns and unknowns. Nature Neuroscience. doi:10.1038/nn.3495

Drugowitsch, Mendonça, Mainen & Pouget (2013). Learning optimal decisions with confidence. PNAS.

04/15/2025 Andrei Barbu TBD

04/22/2025 Cengiz Pehlevan Population codes enable learning from few examples by shaping inductive bias. Bordelon and Pehlevan. bioRxiv 2021

04/29/2025 Gabriel Kreiman
Regulating advanced artificial agents. Cohen et al 2024.

Debates on the nature of Artificial General Intelligence. Mitchell 2024.

05/06/2025 Students Student presentations

05/13/2025 Students Student presentations

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01/28/2025	Gabriel Kreiman	Neuroscience-Inspired Artificial Intelligence. Hassabis et al. Neuron 2017
02/04/2025	Richard Born	Illusions, delusions, and your Backwards Bayesian Brain: A Biased Visual Perspective. Born et al. Brain, Behavior, and Evolution 2021 Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences. Ponce et al. Cell 2019
02/11/2025	Haim Sompolinsky	The Geometry of Concept Learning
02/18/2025	Thomas Serre	Deep Learning: The Good, the Bad, and the Ugly. Serre, Annual Review of Vision 2019.
02/25/2025	Bill Lotter	Deep predictive coding networks for video prediction and unsupervised learning. Lotter et al, ICLR 2017
03/04/2025	Tomer Ullman	Mind games: Game engines as an architecture for intuitive physics. Ullman et al. TICS 2017 Bayesian models of conceptual development: learning as building models of the world. Ullman et al. Ann. Rev. Psychology 2020
03/11/2025	Isaac Kohane	TBD
03/18/2025	No class (spring break)	Read a classic during Spring Break. Alan Turing: Computing machinery and intelligence (1950) And/or read a fun book. Brain Christian: The most human human. What talking with comptuers teaches us about what it means to be alive (1984).
03/25/2025	Cass Sunstein	Sunstein. Artificial intelligence and the first amendment (2023)
04/01/2025	Trenton Bricken	Bricken T, Schaeffer R, Olshausen B, Kreiman G. (2023) Emergence of sparse representations from noise. International Conference on Machine Learning (ICML). PDF Bricken T, Davies A, Singh D, Krotov D, Kreiman G. (2023) Sparse distributed memory is a continual learner. International Conference on Learning Representations (ICLR) PDF
04/08/2025	Jan Drugowitsch	Pouget, Beck, Ma & Latham (2013). Probabilistic brains: knowns and unknowns. Nature Neuroscience. doi:10.1038/nn.3495 Drugowitsch, Mendonça, Mainen & Pouget (2013). Learning optimal decisions with confidence. PNAS.
04/15/2025	Andrei Barbu	TBD
04/22/2025	Cengiz Pehlevan	Population codes enable learning from few examples by shaping inductive bias. Bordelon and Pehlevan. bioRxiv 2021
04/29/2025	Gabriel Kreiman	Regulating advanced artificial agents. Cohen et al 2024. Debates on the nature of Artificial General Intelligence. Mitchell 2024.
05/06/2025	Students	Student presentations
05/13/2025	Students	Student presentations

Biological and Artificial Intelligence