Notes from the Wired

Writing on "Paper-Summary"

These are all the writings that I tagged with "Paper-Summary". If you want to see more writings on a specific topic, check out the tags page.

2026

2025

Dec. 20
An Epistemic Account of Populism
Dec. 15
Defect Detection in Transparent Printed Electronics Using Learning-Based Optical Inspection
Dec. 10
Facing Up to the Problem of Consciousness
Dec. 08
The Unimportance of Identity
Dec. 05
Dynamics of Faiths: From Hope to Knowledge
Dec. 03
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers
Dec. 02
On Bullshit
Nov. 24
Many, but almost one
Nov. 21
The Unreality of Time
Nov. 17
Antichrist by Nitzsche
Nov. 11
The Birth of Tragedy by Nitzsche
Nov. 08
Brain in a vat
Nov. 07
The Elimination of Metaphysics Through Logical Analysis of Language
Nov. 05
Two Dogmas Of Empiricism
Nov. 04
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Oct. 31
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Oct. 30
Compute Trends Across Three Eras of Machine Learning
Oct. 28
Deep Residual Learning for Image Recognition
Oct. 27
AdamW: Decoupled Weight Decay Regularization
Oct. 27
Adam: A Method for Stochastic Optimization
Oct. 26
Comparison of Various Learning Rate Scheduling Techniques on Convolutional Neural Network
Oct. 26
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
Oct. 23
Layer Normalization
Oct. 17
Long short-term memory and learning-to-learn in networks of spiking neurons
Oct. 15
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks
Oct. 13
A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding
Oct. 10
Surrogate Gradient Learning in Spiking Neural Networks
Oct. 01
Simple framework for constructing functional spiking recurrent neural networks
Oct. 01
Spike-based computation using classical recurrent neural networks
Sep. 30
ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters
Sep. 29
Towards Temporal Information Processing – Printed Neuromorphic Circuits with Learnable Filters
Sep. 29
Intelligence Processing Units Accelerate Neuromorphic Learning
Jul. 10
Do Animals have Belief
Jul. 04
Euthyphro
Jul. 03
The Sybil Attack
Jul. 02
Kademlia: A Peer-to-peer Information System Based on the XOR Metric
Jul. 01
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits
Jun. 30
Highly-Bespoke Robust Printed Neuromorphic Circuits
Jun. 29
Analog Printed Spiking Neuromorphic Circuit
Jun. 27
Hardware Efficient Weight-Binarized Spiking Neural Networks
Jun. 26
RWKV: Reinventing RNNs for the Transformer Era
Jun. 25
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
Jun. 24
Training Spiking Neural Network Using Lessongs from Deep Learning
Jun. 20
Rational Animals by Donald Davidson
May. 27
Freedom of the Will and the Concept of a Person
May. 23
Agency
May. 21
Letter to Herodotus
May. 21
Letter to Menoeceus
May. 15
The Ground of Being
May. 14
What it is like to be a bat?
May. 13
Time, Clocks, and the Ordering of Events in a Distributed System
May. 09
Actions, Reasons, and Causes
May. 08
Three Ways of Spilling Ink
May. 07
The Design Philosophy of the DARPA Internet Protocols
May. 06
Invariants: a new design methodology for network architectures
May. 05
Nicomachean Ethics Selected Pages from Book 3 on Action Theory
May. 05
On Senses and References
Apr. 22
Is Justified True Belief Knowledge?
Mar. 30
Learning to Optimize Neural Nets
Mar. 29
Learning to Optimize
Mar. 29
Learning to learn by gradient descent by gradient descent
Mar. 26
Generative Adversarial Imitation Learning
Feb. 08
Seneca on Trial: The Case of the Opulent Stoic
Jan. 24
An Enquiry Concerning Human Understanding and Other Writings: Sceptical doubts
Jan. 07
Ethics: Inventing Right and Wrong

2024

2023

Dec. 01
Attention is All You Need