Samyak Parajuli

According to our database, Samyak Parajuli authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DreamGarden: A Designer Assistant for Growing Games from a Single Prompt.

Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey

CoRR, 2024

Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds.

Amina Kobenova, Cyan DeVeaux, Samyak Parajuli, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier

CoRR, 2024

Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding.

Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D. Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho

CoRR, 2024

2022

Dynamically throttleable neural networks.

Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu

Mach. Vis. Appl., 2022

Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic.

Abdul Rahman Kreidieh, Yibo Zhao, Samyak Parajuli, Alexandre M. Bayen

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Explore and Control with Adversarial Surprise.

Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine

CoRR, 2021

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization.

Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Dynamically Throttleable Neural Networks (TNN).

Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu

CoRR, 2020

2019

Inter-Level Cooperation in Hierarchical Reinforcement Learning.

Abdul Rahman Kreidieh, Samyak Parajuli, Nathan Lichtle, Yiling You, Rayyan Nasr, Alexandre M. Bayen

CoRR, 2019

2018

Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks.

Samyak Parajuli, Aswin Raghavan, Sek M. Chai

CoRR, 2018