Why Creativity Cannot Be Interpolated - MLST
Jeremy Budd, Assistant Professor at the University of Birmingham, and Tim Scarfe, CEO of Machine Learning Street Talk, discuss the paper “Why Creativity Cannot Be Interpolated”, which argues that genu...
22 Jul 1h 3min
Constrained Adaptive Rejection Sampling - Loris D’Antoni
Loris D’Antoni, Professor of Computer Science and Engineering at UC San Diego, discusses his paper “Constrained Adaptive Rejection Sampling,” which introduces a constrained decoding algorithm that pre...
1 Jul 49min
Inventing Inductive Logic Programming - Stephen Muggleton
Stephen Muggleton, Emeritus Professor at Imperial College London, discusses his paper “Inductive Logic Programming”, which introduced and named the field. The paper presents a framework that combines ...
18 Jun 57min
Recursive Program Synthesis - Aws Albarghouthi
Aws Albarghouthi, Associate Professor of Computer Science at the University of Wisconsin-Madison, discusses his paper “Recursive Program Synthesis”, which introduced Escher, an inductive synthesis alg...
27 Mai 55min
DreamCoder's Wake-Sleep Library Learning - Kevin Ellis
Kevin Ellis, Assistant Professor at Cornell University, discusses his influential paper “DreamCoder,” which presents a system that jointly learns reusable program abstractions and a neural search stra...
7 Apr 47min
Semantic Programming by Example with Pre-trained Models - Gust Verbruggen
Gust Verbruggen, Senior AI researcher and member of the PROSE team at Microsoft, discusses his paper "Semantic Programming by Example with Pre-trained Models," which introduces a framework for integra...
3 Mar 1h 15min
Relational Decomposition for Program Synthesis - Céline Hocquette
The way a problem is represented can determine whether it is solvable at all.Céline Hocquette, AI researcher at Ndea and former postdoctoral researcher at the University of Oxford, discusses her paper...
2 Feb 47min
