Talks, Articles, and Interviews
Why an NVIDIA Engineer Quit at the Start of the AI Boom,
Kevin T. Dugan, New York Magazine, July 11, 2024.
Panel Speaker at the ELLIS, AI4media, and AIDA Symposium on Large Language and Foundation Models (together with Moshe Vardi, Geoff Hinton, Gary Marcus and Brando Benifei), Amsterdam, 18 October 2023.
The Future of AI Regulation (min 1h:18), Anna Edwards & Tom Mackenzie, Bloomberg Interview, 15 September 2023.
Elon Musk's X now wants your biometric data, as well as your job and education history, for 'safety, security and identification puroposes', Chloe Taylor, FORTUNE, 28 July 2023
Democracy in danger: AI, supercomputers, and the loss of human agency, Ernestas Naprys, 28 July 2023
Scientist and Writer Jacopo Pantaleoni on the Future of Artificial Intelligence, David Leinchner, 15 July 2023
Obsessed with chips, US overlooks its dependence on India, Ernestas Naprys, 13 July 2023
La vita non è un film – storia di Jacopo Pantaleoni,
Riccardo Meggiato, Wired Italia, February 2013.
Questo DNA è un gioco da ragazzi,
Marco Passarello, Il Sole 24 ore, 2 December 2012.
NVIDIA Collaborates with Weta to Accelerate Visual Effects for Avatar, Matt Kapko, Animation World Network, January 12, 2010.
PantaRay: Directional Occlusion for Fast Cinematic Lighting of Massive Scenes, ACM Siggraph Talks, 2010.
Lightflow, Graphics World, May 2000.
Technical Writing
Production Rendering : Design and Implementation
Ian Stephenson et al., Springer Verlag, 2005, ISBN 978-1-85233-821-3
Generalized Resampled Importance Sampling: Foundations of ReSTIR
Lin D., Kettunen M., Bitterli B., Pantaleoni J., Yuksel C., Wyman C., July 24, 2022.
ReSTIR GI: Path Resampling for Real-Time Path Tracing
Yaobin O., Shiqiu L., Kettunen M., Pharr M., Pantaleoni J., High Performance Graphics 2021.
An Unbiased Ray Marching Transmittance Estimator
Kettunen M., d’Eon E., Pantaleoni J., Novak J., Aug 9, 2021, ACM SIGGRAPH.
Online path sampling control with progressive spatio-temporal filtering
Pantaleoni J., Aug 25, 2020, Springer Nature / SN Computer Science.
Importance Sampling of Many Lights with Reinforcement Lightcuts Learning
Pantaleoni J., Nov 26, 2019, Arxiv.
Blue-Noise Dithered QMC Hierarchical Russian Roulette
Pantaleoni J., Jul 29, 2019, Arxiv.
Matrix Bidirectional Path Tracing
Chaitanya C., Belcour L., Hachisuka T., Premoze S., Pantaleoni J., Eurographics
Symposium on Rendering, 2018.
Notes on Optimal Approximations for Importance Sampling
Pantaleoni J., Heitz E., Jul 26, 2017, Arxiv.
A massively parallel algorithm for constructing the BWT of large string sets
Pantaleoni J., https://arxiv.org/abs/1410.0562.
A Path Space Extension for Robust Light Transport Simulation
Hachisuka T. and Pantaleoni J. and Jensen. H.W., Siggraph Asia, May 2012.
VoxelPipe: A Programmable Pipeline for 3D Voxelization
Pantaleoni J., High Performance Graphics 2011, August 2011.
Simpler and Faster HLBVH with Work Queues
Garanzha K. and Pantaleoni J. and McAllister D., High Performance Graphics 2011, August 2011
Pantaray: Fast ray-traced occlusion caching of massive scenes
Pantaleoni J. and Fascione L. and Hill M. and Aila T., ACM Transactions on Graphics 2010, vol 29, number 4.
HLBVH: Hierarchical LBVH for Real Time Ray Tracing of Dynamic Geometry
Pantaleoni J. and Luebke D., Proceedings of High Performance Graphics 2010, Saarbruecken.
Wired photo courtesy of Mattia Balsamini. @ Mattia Balsamini 2013. All rights reserved.
Awarded foundational research on the now pervasive real-time raytracing
used across high-end games, visualisation, and metaverse initiatives.
From: HLBVH: Hierarchical LBVH for Real Time Ray Tracing of Dynamic Geometry
Pantaleoni J. and Luebke D., Proceedings of High Performance Graphics 2010