Media Summary: Talk by Nathanael Fijalkow in the IARCS Verification Seminar Series, on April 5, 2022. More details can be found on the ... Денис Ракитин, НИУ ВШЭ The problem of Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents "Interpretable Machine Learning via ...

Scaling Neural Program Synthesis With - Detailed Analysis & Overview

Talk by Nathanael Fijalkow in the IARCS Verification Seminar Series, on April 5, 2022. More details can be found on the ... Денис Ракитин, НИУ ВШЭ The problem of Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents "Interpretable Machine Learning via ... This video was recorded at Code Mesh V 2020 - MANTIS: Semantics-driven ... About the seminar: Title: Leveraging Execution Feedback for Disclaimer: This video is generated with Google's NotebookLM.

Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn like humans do: building abstract ... In this AI Research Roundup episode, Alex discusses the paper: 'CADEvolve: Creating Realistic CAD via For more information about Stanford's online Artificial Intelligence For more information about Stanford's Artificial Intelligence professional and graduate

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Scaling Neural Program Synthesis with Distribution-based Search
SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations
Training Neural Networks at Any Scale
Neural Program Synthesis
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
MANTIS: Semantics-driven Inductive Program Synthesis | Roopsha Samanta | Code Mesh V 2020
Xinyun Chen (Google DeepMind) - Leveraging Execution Feedback for Program Synthesis with LLMs
[Podcast] Scaling Laws for View Synthesis Transformers
Program Synthesis with Large Language Models
Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
CADEvolve: Scaling Complex CAD Program Synthesis
Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 9: Scaling laws 1
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Scaling Neural Program Synthesis with Distribution-based Search

Scaling Neural Program Synthesis with Distribution-based Search

Talk by Nathanael Fijalkow in the IARCS Verification Seminar Series, on April 5, 2022. More details can be found on the ...

SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations

SYNT 2020: Neuro-Symbolic Program Synthesis from Natural Language and Demonstrations

Invited Talk: Neuro-Symbolic

Training Neural Networks at Any Scale

Training Neural Networks at Any Scale

TITLE: Training

Neural Program Synthesis

Neural Program Synthesis

Денис Ракитин, НИУ ВШЭ The problem of

Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents "Interpretable Machine Learning via ...

MANTIS: Semantics-driven Inductive Program Synthesis | Roopsha Samanta | Code Mesh V 2020

MANTIS: Semantics-driven Inductive Program Synthesis | Roopsha Samanta | Code Mesh V 2020

This video was recorded at Code Mesh V 2020 - https://codesync.global/conferences/code-mesh-ldn/ MANTIS: Semantics-driven ...

Xinyun Chen (Google DeepMind) - Leveraging Execution Feedback for Program Synthesis with LLMs

Xinyun Chen (Google DeepMind) - Leveraging Execution Feedback for Program Synthesis with LLMs

About the seminar: https://llms4code.vercel.app Title: Leveraging Execution Feedback for

[Podcast] Scaling Laws for View Synthesis Transformers

[Podcast] Scaling Laws for View Synthesis Transformers

Disclaimer: This video is generated with Google's NotebookLM. https://arxiv.org/pdf/2602.21341

Program Synthesis with Large Language Models

Program Synthesis with Large Language Models

In this video we discuss the paper "

Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)

Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)

Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn like humans do: building abstract ...

CADEvolve: Scaling Complex CAD Program Synthesis

CADEvolve: Scaling Complex CAD Program Synthesis

In this AI Research Roundup episode, Alex discusses the paper: 'CADEvolve: Creating Realistic CAD via

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 9: Scaling laws 1

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 9: Scaling laws 1

For more information about Stanford's online Artificial Intelligence

Stanford CS224N NLP with Deep Learning | Spring 2022 | Guest Lecture: Scaling Language Models

Stanford CS224N NLP with Deep Learning | Spring 2022 | Guest Lecture: Scaling Language Models

For more information about Stanford's Artificial Intelligence professional and graduate