User Edv Beq

28 votes

1 answer

8k views

Backpropagation on a convolutional layer

asked Feb 2, 2018 at 1:11

11 votes

1 answer

5k views

Sampling z in VAE

asked Aug 10, 2018 at 13:11

10 votes

1 answer

4k views

Backpropagation on Variational Autoencoders

asked Aug 7, 2019 at 0:46

8 votes

1 answer

1k views

On solving ode/pde with Neural Networks

asked Oct 25, 2020 at 16:37

7 votes

3 answers

2k views

How do you add knowledge to LLMs?

asked May 22, 2023 at 14:16

6 votes

2 answers

3k views

How to statistically compare machine learning "regression" models?

asked Dec 29, 2019 at 1:01

6 votes

1 answer

199 views

XGBOOST objective function derivation algebra

asked Nov 25, 2019 at 1:06

6 votes

3 answers

8k views

Confidence Interval on the Geometric Distribution Expected Value?

asked Oct 6, 2015 at 23:54

6 votes

2 answers

1k views

Parameter optimization with Neural Networks

asked Jul 9, 2018 at 19:32

5 votes

6 answers

25k views

MSE formula in Neural Network applications

asked Nov 10, 2017 at 14:39

5 votes

1 answer

726 views

What is p(data) in image generation

asked May 17, 2021 at 17:29

3 votes

1 answer

2k views

How to use cosine similarity within triplet loss

asked Jul 2, 2022 at 16:33

3 votes

1 answer

296 views

Density of a one-to-one function real life example

asked Jul 31, 2019 at 0:16

3 votes

1 answer

3k views

Connection between Hazard Ratios, Survival, and Probability

asked Feb 12, 2019 at 1:16

3 votes

1 answer

729 views

How to normalize event times in Survival Analysis?

asked Apr 24, 2020 at 13:21

3 votes

2 answers

781 views

Can we use backpropagation to fit other models?

asked Feb 19, 2018 at 3:27

3 votes

2 answers

652 views

How to calculate conditional hazard at time zero

asked Mar 21, 2019 at 1:50

2 votes

1 answer

209 views

Survival analysis with biased coins

asked Apr 10, 2019 at 11:26

2 votes

1 answer

91 views

Data in the Mann-Whitney test

asked Apr 26, 2019 at 12:27

2 votes

1 answer

74 views

TensorFlow 2.0 output specification in NLP model

asked Jul 9, 2019 at 22:22

2 votes

1 answer

126 views

Define statistical potential energy [closed]

asked Feb 7, 2019 at 2:31

2 votes

1 answer

108 views

Can neural networks learn $g(x)$ from $\mathbb{E}[g(X_t)] = \int_{-\infty}^{\infty} g(x)p_t(x)dx$

asked Aug 19, 2018 at 19:24

2 votes

2 answers

107 views

Help me understand this: $ Pr(T < t \mid y) = \int_{0}^{\infty }\int_{\Omega }k(x)p(t, x\mid y)\,dx\,dt \ $?

asked Nov 21, 2015 at 3:57

2 votes

3 answers

2k views

Relationship between Bayes Rule and Bayesian Networks

asked Apr 12, 2021 at 12:44

2 votes

1 answer

160 views

On the denominator of Bayes and Naive Bayes

asked Apr 21, 2021 at 22:08

2 votes

1 answer

214 views

Can the hazard function be defined on a continuous state

asked Feb 26, 2019 at 3:57

1 vote

1 answer

372 views

What kind of Neural Networks are required for Diffusion models?

asked Jun 30, 2023 at 17:54

1 vote

0 answers

251 views

How to sample from a distribution approximated by a Neural Network?

asked Jan 15, 2022 at 22:15

1 vote

1 answer

102 views

How to fit a distribution over an observed distribution?

asked Sep 10, 2016 at 15:19

1 vote

0 answers

290 views

Is my Neural Network chain rule correct?

asked Nov 10, 2017 at 22:36

Stack Exchange Network

37 Questions

Backpropagation on a convolutional layer

Sampling z in VAE

Backpropagation on Variational Autoencoders

On solving ode/pde with Neural Networks

How do you add knowledge to LLMs?

How to statistically compare machine learning "regression" models?

XGBOOST objective function derivation algebra

Confidence Interval on the Geometric Distribution Expected Value?

Parameter optimization with Neural Networks

MSE formula in Neural Network applications

What is p(data) in image generation

How to use cosine similarity within triplet loss

Density of a one-to-one function real life example

Connection between Hazard Ratios, Survival, and Probability

How to normalize event times in Survival Analysis?

Can we use backpropagation to fit other models?

How to calculate conditional hazard at time zero

Survival analysis with biased coins

Data in the Mann-Whitney test

TensorFlow 2.0 output specification in NLP model

Define statistical potential energy [closed]

Can neural networks learn $g(x)$ from $\mathbb{E}[g(X_t)] = \int_{-\infty}^{\infty} g(x)p_t(x)dx$

Help me understand this: $ Pr(T < t \mid y) = \int_{0}^{\infty }\int_{\Omega }k(x)p(t, x\mid y)\,dx\,dt \ $?

Relationship between Bayes Rule and Bayesian Networks

On the denominator of Bayes and Naive Bayes

Can the hazard function be defined on a continuous state

What kind of Neural Networks are required for Diffusion models?

How to sample from a distribution approximated by a Neural Network?

How to fit a distribution over an observed distribution?

Is my Neural Network chain rule correct?