Search Results for author: Daniel Murfet

Found 9 papers, 4 papers with code

The Developmental Landscape of In-Context Learning

no code implementations4 Feb 2024 Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet

We show that in-context learning emerges in transformers in discrete developmental stages, when they are trained on either language modeling or linear regression tasks.

In-Context Learning Language Modelling +1

Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

no code implementations10 Oct 2023 Zhongtian Chen, Edmund Lau, Jake Mendel, Susan Wei, Daniel Murfet

We investigate phase transitions in a Toy Model of Superposition (TMS) using Singular Learning Theory (SLT).

Learning Theory

Quantifying degeneracy in singular models via the learning coefficient

1 code implementation23 Aug 2023 Edmund Lau, Daniel Murfet, Susan Wei

Deep neural networks (DNN) are singular statistical models which exhibit complex degeneracies.

Inductive Bias Learning Theory

Geometry of Program Synthesis

no code implementations30 Mar 2021 James Clift, Daniel Murfet, James Wallbridge

We re-evaluate universal computation based on the synthesis of Turing machines.

Program Synthesis

Deep Learning is Singular, and That's Good

1 code implementation22 Oct 2020 Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella

In singular models, the optimal set of parameters forms an analytic set with singularities and classical statistical inference cannot be applied to such models.

Learning Theory

Logic and the 2-Simplicial Transformer

1 code implementation ICLR 2020 James Clift, Dmitry Doryn, Daniel Murfet, James Wallbridge

We introduce the 2-simplicial Transformer, an extension of the Transformer which includes a form of higher-dimensional attention generalising the dot-product attention, and uses this attention to update entity representations with tensor products of value vectors.

Inductive Bias Logical Reasoning +2

Logic and the $2$-Simplicial Transformer

no code implementations2 Sep 2019 James Clift, Dmitry Doryn, Daniel Murfet, James Wallbridge

We introduce the $2$-simplicial Transformer, an extension of the Transformer which includes a form of higher-dimensional attention generalising the dot-product attention, and uses this attention to update entity representations with tensor products of value vectors.

Inductive Bias Logical Reasoning +2

Constructing $A_\infty$-categories of matrix factorisations

1 code implementation18 Mar 2019 Daniel Murfet

We study constructive $A_\infty$-models of the DG-category of matrix factorisations of a potential over a commutative $\mathbb{Q}$-algebra $k$, consisting of a Hom-finite $A_\infty$-category equipped with an $A_\infty$-idempotent functor.

Algebraic Geometry Mathematical Physics Mathematical Physics

Logic and linear algebra: an introduction

no code implementations9 Jul 2014 Daniel Murfet

We give an introduction to logic tailored for algebraists, explaining how proofs in linear logic can be viewed as algorithms for constructing morphisms in symmetric closed monoidal categories with additional structure.

Logic Logic in Computer Science Category Theory

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