All Publications
2021
CBMM Memo No.
115
“Distribution of Classification Margins: Are All Data Equal?”. 2021.
CBMM Memo 115.pdf (9.56 MB) ,

CBMM Funded
2020
CBMM Memo No.
113
“Dreaming with ARC”, Learning Meets Combinatorial Algorithms workshop at NeurIPS 2020. 2020.
CBMM Memo 113.pdf (1019.64 KB) ,

CBMM Funded
CBMM Memo No.
109
“Hierarchically Local Tasks and Deep Convolutional Networks”. 2020.
CBMM_Memo_109.pdf (2.12 MB) ,

CBMM Funded
2019
CBMM Memo No.
102
“Double descent in the condition number”. 2019.
Fixing typos, clarifying error in y, best approach is crossvalidation (837.18 KB)
Incorporated footnote in text plus other edits (854.05 KB)
Deleted previous discussion on kernel regression and deep nets: it will appear, extended, in a separate paper (795.28 KB)
RevisedPNASV2.pdf (261.24 KB) ,




CBMM Funded
CBMM Memo No.
100
“Theoretical Issues in Deep Networks”. 2019.
CBMM Memo 100 v1 (1.71 MB)
CBMM Memo 100 v3 (8/25/2019) (1.31 MB)
CBMM Memo 100 v4 (11/19/2019) (1008.23 KB) ,



CBMM Funded
“ Does intuitive inference of physical stability interruptattention?”, Cognitive Sciences Society. 2019. ,
CBMM Funded
“How to never be wrong”, Psychonomic Bulletin & Review, vol. 26, no. 1, pp. 13 - 28, 2019. ,
CBMM Funded
“Fast and Accurate Seismic Tomography via Deep Learning”, in Deep Learning: Algorithms and Applications, SPRINGER-VERLAG, 2019. ,
CBMM Related
2018
“Learning physical parameters from dynamic scenes.”, Cognitive Psychology, vol. 104, pp. 57-82, 2018.
T-Ullman-etal_CogPsych_LearningPhysicalParametersFromDynamicScenes.pdf (3.15 MB) ,

CBMM Funded
CBMM Memo No.
095
“Can Deep Neural Networks Do Image Segmentation by Understanding Insideness?”. 2018.
CBMM-Memo-095.pdf (1.96 MB) ,

CBMM Funded
“Trading robust representations for sample complexity through self-supervised visual experience”, in Advances in Neural Information Processing Systems 31, Montreal, Canada, 2018, pp. 9640–9650.
trading-robust-representations-for-sample-complexity-through-self-supervised-visual-experience.pdf (3.32 MB)
NeurIPS2018_Poster.pdf (6.12 MB) ,


CBMM Memo No.
093
“Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results”. 2018.
CBMM-Memo-093.pdf (2.99 MB) ,

CBMM Funded
“The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors”, in workshop on "AI for Social Good", NIPS 2018, Montreal, Canada, 2018.
fake-news-paper-NIPS.pdf (147.36 KB)
fake-news-paper-NIPS_2018_v2.pdf (147.36 KB) ,


CBMM Funded
“Invariant Recognition Shapes Neural Representations of Visual Input”, Annual Review of Vision Science, vol. 4, no. 1, pp. 403 - 422, 2018.
annurev-vision-091517-034103.pdf (1.55 MB) ,

CBMM Funded
“Lucky or clever? From changed expectations to attributions of responsibility”, Cognition, 2018. ,
CBMM Funded
CBMM Memo No.
091
“Classical generalization bounds are surprisingly tight for Deep Networks”. 2018.
CBMM-Memo-091.pdf (1.43 MB)
CBMM-Memo-091-v2.pdf (1.88 MB) ,


CBMM Funded
CBMM Memo No.
090
“Theory III: Dynamics and Generalization in Deep Networks”. 2018.
Original, intermediate versions are available under request (2.67 MB)
CBMM Memo 90 v12.pdf (4.74 MB)
Theory_III_ver44.pdf Update Hessian (4.12 MB)
Theory_III_ver48 (Updated discussion of convergence to max margin) (2.56 MB)
fixing errors and sharpening some proofs (2.45 MB) ,





CBMM Funded
CBMM Memo No.
084
“Single-Shot Object Detection with Enriched Semantics”. 2018.
CBMM-Memo-084.pdf (1.92 MB) ,

CBMM Funded
CBMM Memo No.
083
“DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion”. 2018.
CBMM-Memo-083.pdf (2.32 MB) ,

CBMM Funded
“Image interpretation above and below the object level”, Proceedings of the Royal Society: Interface Focus, 2018.
2018-BenYosef_Ullman-Image_interpretation_above_and_below the object_level.pdf (3.26 MB) ,

CBMM Funded
“Relational inductive bias for physical construction in humans and machines”, In Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci 2018). 2018.
1806.01203.pdf (1022.51 KB) ,

CBMM Related
CBMM Memo No.
077
“Constant Modulus Algorithms via Low-Rank Approximation”. 2018.
CBMM-Memo-077.pdf (795.61 KB) ,

CBMM Funded
“Discovery and usage of joint attention in images”, arXiv.org, 2018.
1804.04604v1.pdf (488.85 KB) ,

CBMM Funded
CBMM Memo No.
076
“An analysis of training and generalization errors in shallow and deep networks”. 2018.
CBMM-Memo-076.pdf (772.61 KB)
CBMM-Memo-076v2.pdf (2.67 MB) ,


CBMM Funded
“Deep-learning tomography”, The Leading Edge, vol. 37, no. 1, pp. 58 - 66, 2018.
TLE2018.pdf (1.9 MB) ,

CBMM Funded