Arpit Bansal

According to our database1, Arpit Bansal authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion.
CoRR, 2024

2023
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Transfer Learning with Deep Tabular Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Universal Guidance for Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.
CoRR, 2022

End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking.
CoRR, 2022

End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certified Neural Network Watermarks with Randomized Smoothing.
Proceedings of the International Conference on Machine Learning, 2022

Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Datasets for Studying Generalization from Easy to Hard Examples.
CoRR, 2021

MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data.
CoRR, 2021

Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release.
CoRR, 2021

2019
PAG-Net: Progressive Attention Guided Depth Super-resolution Network.
CoRR, 2019

2018
Product design methodology applied in developing a liquid petroleum gas level indicator using android technology.
Ingénierie des Systèmes d Inf., 2018

2016
An efficient automatic intensity based method for detection of macula in retinal images.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016


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