NVIDIA at NeurIPS 2023
Dec 10–16
At the forefront of AI innovation, NVIDIA continues to push the boundaries of technology in machine learning, self-driving cars, robotics, graphics, simulation, and more. NVIDIA researchers will present groundbreaking papers at NeurIPS from December 10–16. Join us to see the latest advancements in research.
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Presentations
Our accepted papers feature a range of groundbreaking research. From alias-free general adversarial networks (GANs) that create photorealistic images to semantic segmentation with transformers, explore the exceptional work we’re bringing to the NeurIPS community.
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Papers
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Posters
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Workshops
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Chuanruo Ning · Ruihai Wu · Haoran Lu · Kaichun Mo · Hao Dong | Paper
Syntactic Binding in Diffusion Models: Enhancing Attribute Correspondence Through Attention Map Alignment
Royi Rassin · Eran Hirsch · Daniel Glickman · Shauli Ravfogel · Yoav Goldberg · Gal Chechik | Paper
Norm-Guided Latent Space Exploration for Text-to-Image Generation
Dvir Samuel · Rami Ben-Ari · Nir Darshan · Haggai Maron · Gal Chechik | Paper
SceneScape: Text-Driven Consistent Scene Generation
Rafail Fridman · Amit Abecasis · Yoni Kasten · Tali Dekel | Paper
Point Cloud Completion With Pretrained Text-to-Image Diffusion Models
Yoni Kasten · Ohad Rahamim · Gal Chechik | Paper
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg · Shie Mannor · Gal Chechik · Eli Meirom | Paper
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim · Joshua Robinson · Stefanie Jegelka · Haggai Maron | Paper
Optimization or Architecture: What Matters in Non-Linear Filtering?
Ido Greenberg · Netanel Yannay · Shie Mannor | Paper
Policy Gradient for Rectangular Robust Markov Decision Processes
Navdeep Kumar · Esther Derman · Matthieu Geist · Kfir Y. Levy · Shie Mannor | Paper
Individualized Dosing Dynamics via Neural Eigen Decomposition
Stav Belogolovsky · Ido Greenberg · Danny Eytan · Shie Mannor | Paper
trajdata: A Unified Interface to Multiple Human Trajectory Datasets
Boris Ivanovic · Guanyu Song · Igor Gilitschenski · Marco Pavone | Paper
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma · Sushant Veer · Asher Hancock · Heng Yang · Marco Pavone · Anirudha Majumdar | Coming Soon
Generalizable One-shot Neural Head Avatar
Xueting Li · Shalini De Mello · Sifei Liu · Koki Nagano · Umar Iqbal · Jan Kautz | Paper
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy Smith · Shalini De Mello · Jan Kautz · Scott Linderman · Wonmin Byeon | Coming Soon
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zongyi Li · Nikola Kovachki · Chris Choy · Boyi Li · Jean Kossaifi · Shourya Otta · Mohammad Amin Nabian · Maximilian Stadler · Christian Hundt · Kamyar Azizzadenesheli · Animashree Anandkumar | Paper
P-Flow: A Fast and Data-Efficient Zero-Shot TTS Through Speech Prompting
Sungwon Kim · Kevin Shih · rohan badlani · Joao Felipe Santos · Evelina Bakhturina · Mikyas Desta · Rafael Valle · Sungroh Yoon · Bryan Catanzaro | Coming Soon
ClimSim: An Open Large-Scale Dataset for Training High-Resolution Physics Emulators in Hybrid Multi-Scale Climate Simulators
Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus C. Will · Gunnar Behrens · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Julius Busecke · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Tian Zheng · Mike Pritchard | Paper
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
Chuanruo Ning · Ruihai Wu · Haoran Lu · Kaichun Mo · Hao Dong | Poster
Syntactic Binding in Diffusion Models: Enhancing Attribute Correspondence Through Attention Map Alignment
Royi Rassin · Eran Hirsch · Daniel Glickman · Shauli Ravfogel · Yoav Goldberg · Gal Chechik | Poster
Norm-Guided Latent Space Exploration for Text-to-Image Generation
Dvir Samuel · Rami Ben-Ari · Nir Darshan · Haggai Maron · Gal Chechik | Poster
SceneScape: Text-Driven Consistent Scene Generation
Rafail Fridman · Amit Abecasis · Yoni Kasten · Tali Dekel | Poster
Point Cloud Completion With Pretrained Text-to-Image Diffusion Models
Yoni Kasten · Ohad Rahamim · Gal Chechik | Poster
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg · Shie Mannor · Gal Chechik · Eli Meirom | Poster
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim · Joshua Robinson · Stefanie Jegelka · Haggai Maron | Poster
Optimization or Architecture: What Matters in Non-Linear Filtering?
Ido Greenberg · Netanel Yannay · Shie Mannor | Poster
Policy Gradient for Rectangular Robust Markov Decision Processes
Navdeep Kumar · Esther Derman · Matthieu Geist · Kfir Y. Levy · Shie Mannor | Poster
Individualized Dosing Dynamics via Neural Eigen Decomposition
Stav Belogolovsky · Ido Greenberg · Danny Eytan · Shie Mannor | Poster
trajdata: A Unified Interface to Multiple Human Trajectory Datasets
Boris Ivanovic · Guanyu Song · Igor Gilitschenski · Marco Pavone | Poster
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma · Sushant Veer · Asher Hancock · Heng Yang · Marco Pavone · Anirudha Majumdar| Poster
Generalizable One-shot Neural Head Avatar
Xueting Li · Shalini De Mello · Sifei Liu · Koki Nagano · Umar Iqbal · Jan Kautz| Poster
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy Smith · Shalini De Mello · Jan Kautz · Scott Linderman · Wonmin Byeon| Poster
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zongyi Li · Nikola Kovachki · Chris Choy · Boyi Li · Jean Kossaifi · Shourya Otta · Mohammad Amin Nabian · Maximilian Stadler · Christian Hundt · Kamyar Azizzadenesheli · Animashree Anandkumar| Poster
P-Flow: A Fast and Data-Efficient Zero-Shot TTS Through Speech Prompting
Sungwon Kim · Kevin Shih · rohan badlani · Joao Felipe Santos · Evelina Bakhturina · Mikyas Desta · Rafael Valle · Sungroh Yoon · Bryan Catanzaro| Poster
ClimSim: An Open large-Scale Dataset for Training High-Resolution Physics Emulators in Hybrid Multi-Scale Climate Models
Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus C. Will · Gunnar Behrens · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Julius Busecke · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Tian Zheng · Mike Pritchard| Poster
Workshop on Diffusion Models
Yang Song · Tali Dekel · Sayak Paul · Brian Trippe · Jason Yim · Holden Lee · Hyungjin Chung · Shuang Li · Gowthami Somepalli · Yang Song · Arash Vahdat ·Ruiqi Gao ·Tim Salimans · Robin Rombach | Room 242 | Workshop
New Frontiers of AI for Drug Discovery and Development
Animashree Anandkumar · Ilija Bogunovic · Ti-chiun Chang · Quanquan Gu · Jure Leskovec · Michelle Li · Chong Liu · Nataša Tagasovska · Wei Wang | Room 242 | Workshop
Foundation Models for Decision Making
Mengjiao (Sherry) Yang · Ofir Nachum · Yilun Du · Stephen McAleer · Igor Mordatch · Linxi Fan · Jeannette Bohg · Dale Schuurmans | Hall E2 | Workshop
Workshop on Advancing Neural Network Training (WANT): Computational Efficiency, Scalability, and Resource Optimization
Julia Gusak · Jean Kossaifi · Alena Shilova · Cristiana Bentes · Animashree Anandkumar · Olivier Beaumont | Room 243 - 245 | Workshop
The Symbiosis of Deep Learning and Differential Equations -- III
Luca Celotti · Martin Magill · Ermal Rrapaj · Winnie Xu · Qiyao Wei · Archis Joglekar · Michael Poli · Animashree Anandkumar | Room 255 - 257 | Workshop
Trainings and Resources
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Additional Resources
Meet NVIDIA Inception Members
NVIDIA Inception is a free program that helps startups evolve faster through access to cutting-edge technology and NVIDIA experts, connections with venture capitalists, and co-marketing support. Explore the members who will be at NeurIPS this year.
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