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1

Object Discovery and Representation Networks:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Hénaff, Olivier J. ; Koppula, Skanda ; Shelhamer, Evan... - p. 123-143 , 2022

Link: https://doi.org/10.1007/..

2

Towards Learning Universal Audio Representations:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Wang, Luyu ; Luc, Pauline ; Wu, Yan... - p. 4593-4597 , 2022

Link: https://doi.org/10.1109/..

3

A neural correlate of image memorability in inferotemporal ..:

Mehrpour, Vahid ; Mohsenzadeh, Yalda ; Jaegle, Andrew...
Journal of Vision. 19 (2019) 10 - p. 91c , 2019

Link: https://doi.org/10.1167/..

4

Codes, functions, and causes: A critique of Brette's concep..:

Barack, David ; Jaegle, Andrew
Behavioral and Brain Sciences. 42 (2019) - p. , 2019

Link: https://doi.org/10.1017/..

5

Visual novelty, curiosity, and intrinsic reward in machine ..:

Jaegle, Andrew ; Mehrpour, Vahid ; Rust, Nicole
Current Opinion in Neurobiology. 58 (2019) - p. 167-174 , 2019

Link: https://doi.org/10.1016/..

6

Population response magnitude variation in inferotemporal c..:

Jaegle, Andrew ; Mehrpour, Vahid ; Mohsenzadeh, Yalda...
eLife. 8 (2019) - p. , 2019

Link: https://doi.org/10.7554/..

7

Second Order Receptive Field Properties of Simple and Compl..:

Sedigh-Sarvestani, Madineh ; Fernandez-Lamo, Ivan ; Jaegle, Andrew.
The Journal of Neuroscience. 34 (2014) 34 - p. 11177-11179 , 2014

Link: https://doi.org/10.1523/..

8

SODA: Bottleneck Diffusion Models for Representation Learni..:

Hudson, Drew A ; Zoran, Daniel ; Malinowski, Mateusz...
http://arxiv.org/abs/2311.17901. , 2023

Link: http://arxiv.org/abs/231..

9

General-purpose, long-context autoregressive modeling with ..:

Hawthorne, Curtis ; Jaegle, Andrew ; Cangea, Cătălina...
http://arxiv.org/abs/2202.07765. , 2022

Link: http://arxiv.org/abs/220..

10

Where Should I Spend My FLOPS? Efficiency Evaluations of Vi..:

Koppula, Skanda ; Li, Yazhe ; Shelhamer, Evan...
http://arxiv.org/abs/2209.15589. , 2022

Link: http://arxiv.org/abs/220..

11

HiP: Hierarchical Perceiver:

Carreira, Joao ; Koppula, Skanda ; Zoran, Daniel...
http://arxiv.org/abs/2202.10890. , 2022

Link: http://arxiv.org/abs/220..

12

Active Acquisition for Multimodal Temporal Data: A Challeng..:

Kossen, Jannik ; Cangea, Cătălina ; Vértes, Eszter...
http://arxiv.org/abs/2211.05039. , 2022

Link: http://arxiv.org/abs/221..

13

Transframer: Arbitrary Frame Prediction with Generative Mod..:

Nash, Charlie ; Carreira, João ; Walker, Jacob...
http://arxiv.org/abs/2203.09494. , 2022

Link: http://arxiv.org/abs/220..

14

Extended Intelligence:

Barack, David L ; Jaegle, Andrew
http://arxiv.org/abs/2209.07449. , 2022

Link: http://arxiv.org/abs/220..

15

Object discovery and representation networks:

Hénaff, Olivier J ; Koppula, Skanda ; Shelhamer, Evan...
http://arxiv.org/abs/2203.08777. , 2022

Link: http://arxiv.org/abs/220..

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