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09/11/2023
Uncovering mesa-optimization algorithms in Transformers
Transformers have become the dominant model in deep learning, but the re...
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02/06/2023
Differentiable Programming of Chemical Reaction Networks
We present a differentiable formulation of abstract chemical reaction ne...
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12/15/2022
Transformers learn in-context by gradient descent
Transformers have become the state-of-the-art neural network architectur...
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11/26/2021
μNCA: Texture Generation with Ultra-Compact Neural Cellular Automata
We study the problem of example-based procedural texture synthesis using...
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06/22/2021
Differentiable Programming of Reaction-Diffusion Patterns
Reaction-Diffusion (RD) systems provide a computational framework that g...
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05/15/2021
Texture Generation with Neural Cellular Automata
Neural Cellular Automata (NCA) have shown a remarkable ability to learn ...
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07/02/2020
MPLP: Learning a Message Passing Learning Protocol
We present a novel method for learning the weights of an artificial neur...
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10/21/2019
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight
We propose a joint simulation and real-world learning framework for mapp...
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09/04/2018
