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2Yes you should understand backprop - Andrej Karpathy - Medium
https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b
5 years ago by @becker
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1CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1 - YouTube
https://www.youtube.com/watch?v=i94OvYb6noo
5 years ago by @becker
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1Bayesian Neural Network Series Post 2: Background Knowledge
https://medium.com/neuralspace/bayesian-neural-network-series-post-2-background-knowledge-fdec6ac62d43
5 years ago by @becker
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convolutional
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1Convolutional neural networks for artistic style transfer — Harish Narayanan
https://harishnarayanan.org/writing/artistic-style-transfer/
5 years ago by @becker
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imagecnnpythonneuralpylongnetworktftransfertensorflowtutorialstylenn
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1ratschlab/RGAN: Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
https://github.com/ratschlab/RGAN
5 years ago by @becker
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1olofmogren/c-rnn-gan: Implementation of C-RNN-GAN.
https://github.com/olofmogren/c-rnn-gan
5 years ago by @becker
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1IraKorshunova/bruno: a deep recurrent model for exchangeable data
https://github.com/IraKorshunova/bruno
5 years ago by @becker
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1[1802.07535] BRUNO: A Deep Recurrent Model for Exchangeable Data
https://arxiv.org/abs/1802.07535
5 years ago by @becker
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2slundberg/shap: A unified approach to explain the output of any machine learning model.
https://github.com/slundberg/shap
5 years ago by @becker
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1ELMo Contextual Word Representations - Wolfram Neural Net Repository
https://resources.wolframcloud.com/NeuralNetRepository/resources/ELMo-Contextual-Word-Representations-Trained-on-1B-Word-Benchmark
6 years ago by @schwemmlein
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1Text Modules | TensorFlow Hub | TensorFlow
https://www.tensorflow.org/hub/modules/text
6 years ago by @schwemmlein
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112a: Neural Nets - YouTube
*NOTE: These videos were recorded in Fall 2015 to update the Neural Nets portion of the class. MIT 6.034 Artificial Intelligence, Fall 2010 View the complete...
6 years ago by @nosebrain
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4Written Memories: Understanding, Deriving and Extending the LSTM - R2RT
https://r2rt.com/written-memories-understanding-deriving-and-extending-the-lstm.html
6 years ago by @nosebrain
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1Generative Adversarial Nets in TensorFlow - Agustinus Kristiadi's Blog
https://wiseodd.github.io/techblog/2016/09/17/gan-tensorflow/
6 years ago by @becker
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codegantensorflowimplementationneuraladversarialtutorialsourcemodelnetworkgenerative
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1developmentseed/skynet-train: Training and test the SegNet neural network on satellite imagery
https://github.com/developmentseed/skynet-train
6 years ago by @becker
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imagesetskynetdatasetneuraldatasegmentationsatelitenetworkclassification
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1(6) 8 AI Technologies that ain't Neural Networks | LinkedIn
https://www.linkedin.com/pulse/8-ai-technologies-aint-neural-networks-brandon-wirtz/
6 years ago by @becker
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1Neural network AI is simple. So… Stop pretending you are a genius
https://www.kdnuggets.com/2018/02/neural-network-ai-simple-genius.html
6 years ago by @becker
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1Airnet: a Machine Learning Dataset for Air Quality Forecasting - Semantic Scholar
https://www.semanticscholar.org/paper/Airnet%3A-a-Machine-Learning-Dataset-for-Air-Quality-XTRACTION/57e9c34b0c0ca1f5510f2be161888730ac67e02e
6 years ago by @becker
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air
lur
p2map
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eva
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nn
pollution
datasetneuralairlurp2mapnetworkevaqualitynnpollution
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2Debugging Neural Networks: A Checklist – Engineering@Semantics3
https://engineering.semantics3.com/debugging-neural-networks-a-checklist-ca52e11151ec
7 years ago by @becker
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optimization
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debugoptimizationneuraloptimizedebuggingnetworknn
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2Relation Extraction using Deep learning(CNN)
The code is an implementation of the paper http://www.aclweb.org/anthology/C14-1220 using tensorflow.
7 years ago by @schwemmlein
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publications (hide)116
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1In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network
R. Fallahzadeh, N. Bidoki, I. Stelzer, M. Becker, I. Marić, A. Chang, A. Culos, T. Phongpreecha, M. Xenochristou, D. De Francesco and 1 other author(s). Cytometry Part A, (2022)
a year ago by @becker
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high
myown
dimensional
neural
encoder
network
single
cell
highmyowndimensionalneuralencodernetworksinglecell
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3Subgroup generalization and fairness of graph neural networks
J. Ma, J. Deng, and Q. Mei. Advances in Neural Information Processing Systems, (2021)
2 years ago by @becker
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fairness
subgroup
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citedby:scholar:count:22
gnn
neurips
citedby:scholar:timestamp:2022-12-13
network
graph
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nn
fairnesssubgroupsubgroupsneuralcitedby:scholar:count:22gnnneuripscitedby:scholar:timestamp:2022-12-13networkgraphthemisnn
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2Why do tree-based models still outperform deep learning on typical tabular data?
L. Grinsztajn, E. Oyallon, and G. Varoquaux. Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, (2022)
2 years ago by @becker
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comparison
forest
decision
neural
data
tabular
learning
tree
trees
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random
citedby:scholar:count:5
evaluation
citedby:scholar:timestamp:2022-12-1
machine
ml
nn
comparisonforestdecisionneuraldatatabularlearningtreetreesnetworkperformancerandomcitedby:scholar:count:5evaluationcitedby:scholar:timestamp:2022-12-1machinemlnn
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2Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi, P. Perdikaris, and G. Karniadakis. Journal of Computational physics, (2019)
2 years ago by @becker
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equation
pde
citedby:scholar:count:3855
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round1
partial
network
citedby:scholar:timestamp:2022-11-11
differential
nn
equationpdecitedby:scholar:count:3855neuralround1partialnetworkcitedby:scholar:timestamp:2022-11-11differentialnn
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2DeepXDE: A deep learning library for solving differential equations
L. Lu, X. Meng, Z. Mao, and G. Karniadakis. SIAM Review, 63 (1): 208--228 (2021)
2 years ago by @becker
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round1
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network
citedby:scholar:timestamp:2022-11-11
differential
citedby:scholar:count:574
nn
equationpdeneuralround1partialnetworkcitedby:scholar:timestamp:2022-11-11differentialcitedby:scholar:count:574nn
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2Three ways to solve partial differential equations with neural networks—A review
J. Blechschmidt, and O. Ernst. GAMM-Mitteilungen, 44 (2): e202100006 (2021)
2 years ago by @becker
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round1
citedby:scholar:count:48
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citedby:scholar:timestamp:2022-11-11
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nn
equationpdeneuralround1citedby:scholar:count:48partialnetworkcitedby:scholar:timestamp:2022-11-11differentialnn
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4Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo, V. Di Cola, F. Giampaolo, G. Rozza, M. Raissi, and F. Piccialli. arXiv preprint arXiv:2201.05624, (2022)
2 years ago by @becker
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citedby:scholar:count:45
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round1
partial
network
citedby:scholar:timestamp:2022-11-11
differential
nn
equationpdecitedby:scholar:count:45neuralround1partialnetworkcitedby:scholar:timestamp:2022-11-11differentialnn
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2A generalization of transformer networks to graphs
V. Dwivedi, and X. Bresson. arXiv preprint arXiv:2012.09699, (2020)
2 years ago by @becker
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citedby:scholar:count:85
generalization
graphs
toread
neural
transformer
citedby:scholar:timestamp:2022-6-29
network
graph
citedby:scholar:count:85generalizationgraphstoreadneuraltransformercitedby:scholar:timestamp:2022-6-29networkgraph
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2Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
G. Silvestri, E. Fertig, D. Moore, and L. Ambrogioni. arXiv preprint arXiv:2110.06021, (2021)
2 years ago by @becker
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modeling
deep
neural
probabilistic
learning
network
citedby:scholar:timestamp:2022-5-12
toread
citedby:scholar:count:1
normalizing
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layers
flow
programming
modelingdeepneuralprobabilisticlearningnetworkcitedby:scholar:timestamp:2022-5-12toreadcitedby:scholar:count:1normalizingprogramslayersflowprogramming
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2GreaseLM: Graph REASoning Enhanced Language Models
X. Zhang, A. Bosselut, M. Yasunaga, H. Ren, P. Liang, C. Manning, and J. Leskovec. International Conference on Learning Representations, (2021)
2 years ago by @becker
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nlp
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reasoning
neural
language
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knowledge
network
jure
graph
nlptoreadreasoningneurallanguagemodelknowledgenetworkjuregraph
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2Chain of Thought Prompting Elicits Reasoning in Large Language Models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, E. Chi, Q. Le, and D. Zhou. (2022)cite arxiv:2201.11903.
2 years ago by @becker
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nlp
reasoning
large
neural
language
prompting
google
model
network
nn
nlpreasoninglargeneurallanguagepromptinggooglemodelnetworknn
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1A data-driven health index for neonatal morbidities
D. De Francesco, Y. Blumenfeld, I. Marić, J. Mayo, A. Chang, R. Fallahzadeh, T. Phongpreecha, A. Butwick, M. Xenochristou, C. Phibbs and 11 other author(s). iScience, (2022)
2 years ago by @becker
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multitask
myown
neural
records
pregnancy
index
network
health
multi
neonatal
ehr
sequence
task
model
temporal
recurrent
nn
multitaskmyownneuralrecordspregnancyindexnetworkhealthmultineonatalehrsequencetaskmodeltemporalrecurrentnn
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1Predicting unreliable predictions by shattering a neural network
X. Ji, R. Pascanu, D. Hjelm, A. Vedaldi, B. Lakshminarayanan, and Y. Bengio. arXiv preprint arXiv:2106.08365, (2021)
2 years ago by @becker
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error
subgroups
neural
of
unreliable
bounds
distribution
out
network
project:functional-subgroups
citedby:scholar:timestamp:2022-3-25
citedby:scholar:count:1errorsubgroupsneuralofunreliableboundsdistributionoutnetworkproject:functional-subgroupscitedby:scholar:timestamp:2022-3-25
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1Single-synapse analyses of Alzheimer’s disease implicate pathologic tau, DJ1, CD47, and ApoE
T. Phongpreecha, C. Gajera, C. Liu, K. Vijayaragavan, A. Chang, M. Becker, R. Fallahzadeh, R. Fernandez, N. Postupna, E. Sherfield and 1 other author(s). Science advances, 7 (51): eabk0473 (2021)
2 years ago by @becker
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alzheimer
myown
deep
neural
citedby:scholar:timestamp:2022-3-22
learning
synapse
network
brain
cell
citedby:scholar:count:2
clustering
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alzheimermyowndeepneuralcitedby:scholar:timestamp:2022-3-22learningsynapsenetworkbraincellcitedby:scholar:count:2clusteringsingle
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2CytoSet: Predicting clinical outcomes via set-modeling of cytometry data
H. Yi, and N. Stanley. Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, page 1--8. (2021)
2 years ago by @becker
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set
immune
deep
sets
neural
learning
network
citedby:scholar:timestamp:2022-2-25
cell
system
citedby:scholar:count:1
single
cytof
setimmunedeepsetsneurallearningnetworkcitedby:scholar:timestamp:2022-2-25cellsystemcitedby:scholar:count:1singlecytof
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5NeuralPDE: Modelling Dynamical Systems from Data
A. Dulny, A. Hotho, and A. Krause. (2021)cite arxiv:2111.07671.
2 years ago by @hotho
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pde
myown
neural
learning
2021
model
network
pdemyownneurallearning2021modelnetwork
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2How to represent part-whole hierarchies in a neural network
G. Hinton. arXiv preprint arXiv:2102.12627, (2021)
3 years ago by @becker
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citedby:scholar:timestamp:2021-11-8
glom
hierarchies
neural
hinton
citedby:scholar:count:27
network
vision
nn
citedby:scholar:timestamp:2021-11-8glomhierarchiesneuralhintoncitedby:scholar:count:27networkvisionnn
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3Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
M. Jin, Y. Zheng, Y. Li, C. Gong, C. Zhou, and S. Pan. arXiv preprint arXiv:2105.05682, (2021)
3 years ago by @becker
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neural
contrastive
gnn
citedby:scholar:count:6
learning
scale
representation
network
graph
citedby:scholar:timestamp:2021-10-17
multi
supervised
siamese
self
neuralcontrastivegnncitedby:scholar:count:6learningscalerepresentationnetworkgraphcitedby:scholar:timestamp:2021-10-17multisupervisedsiameseself
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2Clustergan: Latent space clustering in generative adversarial networks
S. Mukherjee, H. Asnani, E. Lin, and S. Kannan. Proceedings of the AAAI Conference on Artificial Intelligence, 33, page 4610--4617. (2019)
3 years ago by @becker
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project:bmbf
cluster
neural
adversarial
network
space
gan
citedby:scholar:count:128
latent
citedby:scholar:timestamp:2021-7-20
clustering
unsupervised
generative
project:bmbfclusterneuraladversarialnetworkspacegancitedby:scholar:count:128latentcitedby:scholar:timestamp:2021-7-20clusteringunsupervisedgenerative
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3Training generative adversarial networks with limited data
T. Karras, M. Aittala, J. Hellsten, S. Laine, J. Lehtinen, and T. Aila. arXiv preprint arXiv:2006.06676, (2020)
3 years ago by @becker
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set
small
deep
neural
limited
adversarial
data
training
learning
datasets
network
networks
gan
citedby:scholar:count:128
citedby:scholar:timestamp:2021-7-20
model
generative
setsmalldeepneurallimitedadversarialdatatraininglearningdatasetsnetworknetworksgancitedby:scholar:count:128citedby:scholar:timestamp:2021-7-20modelgenerative
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