ÜBER DIESEN PODCAST 🔗
Go beyond the paper abstract to synthesize new ideas. AGI research lab Ndea presents the stories behind remarkable academic papers in the field of program synthesis.
Hosts:
Aktualisierungshäufigkeit:
biweekly
Durchschnittliche Audiolänge:
48 minutes
Gastinterviews
Englisch
Vereinigte Staaten
16 Folgen
seit 15. Dezember 2025
episodic
NEUESTE FOLGEN 🔗
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 genuine creativity requires respect for constraints that today’s AI lacks.
Building on ideas from Fran…
VERGANGENE FOLGEN SUCHEN
Vorhandene Folgen von Abstract Synthesis durchsuchen.
FRÜHERE EPISODEN 🔗
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 preserves the original language model distribution while satisfying formal constraints, enabling highe…
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 logic programming with machine learning, enabling systems to learn interpretable logical rules from…
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 algorithm for learning recursive programs from input-output examples.
The project emerged from Albarg…
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 strategy through an iterative wake-sleep process.
The work emerged from early efforts in library learn…
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 integrating inductive program synthesis with large language models.
The project emerged from an…
Program synthesis is the problem of automatically generating code that satisfies a specification. The real challenge isn’t searching faster, it’s making the right parts of the search space searchable at all.
This week's episode is a short recap of the podcast so far. Across the past 8 conversation…
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 “Relational Decomposition for Program Synthesis”, which introduces a representation-driven appro…
Wasu "Top" Piriyakulkij, PhD student at Cornell University advised by Kevin Ellis, discusses his paper "PoE-World: Compositional World Modeling with Products of Programmatic Experts." The episode explores how symbolic, programmatic world models can achieve strong generalization …
Antonia Wüst, PhD student at TU Darmstadt, discusses her paper "Synthesizing Visual Concepts as Vision-Language Programs," which introduces a neurosymbolic approach to visual concept induction by combining vision-language models with program synthesis.
The work grew out of Wüst’s early P…
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