Posts by Tags

bayesian-learning

Paper review: Bayesian continual learning and forgetting in neural networks

7 minute read

Published: December 14, 2025

📄 Paper

Bayesian Continual Learning and Forgetting in Neural Networks
Djohan Bonnet et al.
Nature Communications (2025)
DOI: https://doi.org/10.1038/s41467-025-64601-w

🧭 Chan’s Curiosity Log — Nov 03, 2025

3 minute read

Published: October 30, 2025

Daily reflections on new papers, theories, and open questions.

bifurcation

🧭 Chan’s Curiosity Log — Nov 4, 2025

5 minute read

Published: November 04, 2025

Daily reflections on new papers, theories, and open questions.

bootstrap

Estimating the Standard Deviation of the Mean

3 minute read

Published: October 23, 2025

1. Standard Deviation vs. Standard Deviation of the Mean

continual-learning

Paper review: Bayesian continual learning and forgetting in neural networks

7 minute read

Published: December 14, 2025

📄 Paper

Bayesian Continual Learning and Forgetting in Neural Networks
Djohan Bonnet et al.
Nature Communications (2025)
DOI: https://doi.org/10.1038/s41467-025-64601-w

🧭 Chan’s Curiosity Log — Nov 03, 2025

3 minute read

Published: October 30, 2025

Daily reflections on new papers, theories, and open questions.

convolutional-networks

🧭 Chan’s Curiosity Log — January 5, 2026

1 minute read

Published: January 05, 2026

Daily reflections on new papers, theories, and open questions.

curiosity-log

🧭 Chan’s Curiosity Log — January 5, 2026

1 minute read

Published: January 05, 2026

Daily reflections on new papers, theories, and open questions.

Paper review: Bayesian continual learning and forgetting in neural networks

7 minute read

Published: December 14, 2025

📄 Paper

Bayesian Continual Learning and Forgetting in Neural Networks
Djohan Bonnet et al.
Nature Communications (2025)
DOI: https://doi.org/10.1038/s41467-025-64601-w

🧭 Chan’s Curiosity Log — Nov 10, 2025

2 minute read

Published: November 10, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — Nov 6, 2025

3 minute read

Published: November 06, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — Nov 5, 2025

4 minute read

Published: November 05, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — Nov 4, 2025

5 minute read

Published: November 04, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — Nov 03, 2025

3 minute read

Published: October 30, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — October 29, 2025

3 minute read

Published: October 29, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — October 28, 2025

6 minute read

Published: October 28, 2025

Daily reflections on new papers, theories, and open questions.

dmft

🧭 Chan’s Curiosity Log — Nov 6, 2025

3 minute read

Published: November 06, 2025

Daily reflections on new papers, theories, and open questions.

double-descent

🧭 Chan’s Curiosity Log — October 28, 2025

6 minute read

Published: October 28, 2025

Daily reflections on new papers, theories, and open questions.

energy-efficiency

🧭 Chan’s Curiosity Log — October 29, 2025

3 minute read

Published: October 29, 2025

Daily reflections on new papers, theories, and open questions.

epistemic-uncertainty

Paper review: Bayesian continual learning and forgetting in neural networks

7 minute read

Published: December 14, 2025

📄 Paper

Bayesian Continual Learning and Forgetting in Neural Networks
Djohan Bonnet et al.
Nature Communications (2025)
DOI: https://doi.org/10.1038/s41467-025-64601-w

hessian

Paper review: Bayesian continual learning and forgetting in neural networks

7 minute read

Published: December 14, 2025

📄 Paper

Bayesian Continual Learning and Forgetting in Neural Networks
Djohan Bonnet et al.
Nature Communications (2025)
DOI: https://doi.org/10.1038/s41467-025-64601-w

hopfield-network

🧭 Chan’s Curiosity Log — Nov 5, 2025

4 minute read

Published: November 05, 2025

Daily reflections on new papers, theories, and open questions.

inductive-bias

🧭 Chan’s Curiosity Log — October 29, 2025

3 minute read

Published: October 29, 2025

Daily reflections on new papers, theories, and open questions.

information-theory

🧭 Chan’s Curiosity Log — Nov 5, 2025

4 minute read

Published: November 05, 2025

Daily reflections on new papers, theories, and open questions.

language-models

🧭 Chan’s Curiosity Log — January 5, 2026

1 minute read

Published: January 05, 2026

Daily reflections on new papers, theories, and open questions.

memory-capacity

🧭 Chan’s Curiosity Log — Nov 10, 2025

2 minute read

Published: November 10, 2025

Daily reflections on new papers, theories, and open questions.

metaplasticity

Paper review: Bayesian continual learning and forgetting in neural networks

7 minute read

Published: December 14, 2025

📄 Paper

Bayesian Continual Learning and Forgetting in Neural Networks
Djohan Bonnet et al.
Nature Communications (2025)
DOI: https://doi.org/10.1038/s41467-025-64601-w

🧭 Chan’s Curiosity Log — Nov 03, 2025

3 minute read

Published: October 30, 2025

Daily reflections on new papers, theories, and open questions.

motor-control

🧭 Chan’s Curiosity Log — Nov 6, 2025

3 minute read

Published: November 06, 2025

Daily reflections on new papers, theories, and open questions.

network-science

🧭 Chan’s Curiosity Log — October 28, 2025

6 minute read

Published: October 28, 2025

Daily reflections on new papers, theories, and open questions.

neuronal-correlation

🧭 Chan’s Curiosity Log — Nov 10, 2025

2 minute read

Published: November 10, 2025

Daily reflections on new papers, theories, and open questions.

neuroscience

🧭 Chan’s Curiosity Log — October 29, 2025

3 minute read

Published: October 29, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — October 28, 2025

6 minute read

Published: October 28, 2025

Daily reflections on new papers, theories, and open questions.

predictive-coding

🧭 Chan’s Curiosity Log — Nov 6, 2025

3 minute read

Published: November 06, 2025

Daily reflections on new papers, theories, and open questions.

recurrent-networks

🧭 Chan’s Curiosity Log — Nov 10, 2025

2 minute read

Published: November 10, 2025

Daily reflections on new papers, theories, and open questions.

redundancy

🧭 Chan’s Curiosity Log — Nov 5, 2025

4 minute read

Published: November 05, 2025

Daily reflections on new papers, theories, and open questions.

renormalization-group

🧭 Chan’s Curiosity Log — Nov 4, 2025

5 minute read

Published: November 04, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — October 28, 2025

6 minute read

Published: October 28, 2025

Daily reflections on new papers, theories, and open questions.

replica-method

🧭 Chan’s Curiosity Log — Nov 03, 2025

3 minute read

Published: October 30, 2025

Daily reflections on new papers, theories, and open questions.

representation-learning

🧭 Chan’s Curiosity Log — January 5, 2026

1 minute read

Published: January 05, 2026

Daily reflections on new papers, theories, and open questions.

reservoir-computing

🧭 Chan’s Curiosity Log — Nov 10, 2025

2 minute read

Published: November 10, 2025

Daily reflections on new papers, theories, and open questions.

rnns

🧭 Chan’s Curiosity Log — October 29, 2025

3 minute read

Published: October 29, 2025

Daily reflections on new papers, theories, and open questions.

scaling-laws

🧭 Chan’s Curiosity Log — January 5, 2026

1 minute read

Published: January 05, 2026

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — Nov 10, 2025

2 minute read

Published: November 10, 2025

Daily reflections on new papers, theories, and open questions.

🧭 Chan’s Curiosity Log — Nov 4, 2025

5 minute read

Published: November 04, 2025

Daily reflections on new papers, theories, and open questions.

sem

Estimating the Standard Deviation of the Mean

3 minute read

Published: October 23, 2025

1. Standard Deviation vs. Standard Deviation of the Mean

signal-propagation

🧭 Chan’s Curiosity Log — Nov 6, 2025

3 minute read

Published: November 06, 2025

Daily reflections on new papers, theories, and open questions.

sleep-dynamics

🧭 Chan’s Curiosity Log — Nov 4, 2025

5 minute read

Published: November 04, 2025

Daily reflections on new papers, theories, and open questions.

spatial-learning

🧭 Chan’s Curiosity Log — Nov 5, 2025

4 minute read

Published: November 05, 2025

Daily reflections on new papers, theories, and open questions.

spectral-dimension

🧭 Chan’s Curiosity Log — October 28, 2025

6 minute read

Published: October 28, 2025

Daily reflections on new papers, theories, and open questions.

spiking-networks

🧭 Chan’s Curiosity Log — Nov 5, 2025

4 minute read

Published: November 05, 2025

Daily reflections on new papers, theories, and open questions.

spiking-neural-networks

🧭 Chan’s Curiosity Log — October 29, 2025

3 minute read

Published: October 29, 2025

Daily reflections on new papers, theories, and open questions.

standard deviation

Estimating the Standard Deviation of the Mean

3 minute read

Published: October 23, 2025

1. Standard Deviation vs. Standard Deviation of the Mean

statistical-physics

🧭 Chan’s Curiosity Log — Nov 03, 2025

3 minute read

Published: October 30, 2025

Daily reflections on new papers, theories, and open questions.

transformer

🧭 Chan’s Curiosity Log — Nov 6, 2025

3 minute read

Published: November 06, 2025

Daily reflections on new papers, theories, and open questions.

transformers

🧭 Chan’s Curiosity Log — January 5, 2026

1 minute read

Published: January 05, 2026

Daily reflections on new papers, theories, and open questions.

uncertainty

Estimating the Standard Deviation of the Mean

3 minute read

Published: October 23, 2025

1. Standard Deviation vs. Standard Deviation of the Mean

universality

🧭 Chan’s Curiosity Log — Nov 4, 2025

5 minute read

Published: November 04, 2025

Daily reflections on new papers, theories, and open questions.

Chan Li

Posts by Tags

bayesian-learning

📄 Paper

bifurcation

bootstrap

1. Standard Deviation vs. Standard Deviation of the Mean

continual-learning

📄 Paper

convolutional-networks

curiosity-log

📄 Paper

dmft

double-descent

energy-efficiency

epistemic-uncertainty

📄 Paper

hessian

📄 Paper

hopfield-network

inductive-bias

information-theory

language-models

memory-capacity

metaplasticity

📄 Paper

motor-control

network-science

neuronal-correlation

neuroscience

predictive-coding

recurrent-networks

redundancy

renormalization-group

replica-method

representation-learning

reservoir-computing

rnns

scaling-laws

sem

1. Standard Deviation vs. Standard Deviation of the Mean

signal-propagation

sleep-dynamics

spatial-learning

spectral-dimension

spiking-networks

spiking-neural-networks

standard deviation

1. Standard Deviation vs. Standard Deviation of the Mean

statistical-physics

transformer

transformers

uncertainty

1. Standard Deviation vs. Standard Deviation of the Mean

universality