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ORCIDAniket Das
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2020 – today
- 2025
[c8]Ryan Wong
, Nikita Kim, Aniket Das, Kevin Higgs, Engin Ipek, Sapan Agarwal, Saugata Ghose, Ben Feinberg:
ANVIL: An In-Storage Accelerator for Name-Value Data Stores. ISCA 2025: 388-404- [i10]Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari:
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation. CoRR abs/2505.03983 (2025) - 2024
- [c7]Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney:
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD. NeurIPS 2024 - [i9]Aniket Das, Ayushman Singh, Nishant, Sharad Prakash:
CapsuleNet: A Deep Learning Model To Classify GI Diseases Using EfficientNet-b7. CoRR abs/2410.19151 (2024) - [i8]Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney:
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD. CoRR abs/2410.20135 (2024) - [i7]Ayushman Singh, Sharad Prakash, Aniket Das, Nidhi Kushwaha:
ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding. CoRR abs/2412.05216 (2024) - 2023
- [c6]Aniket Das, Dheeraj M. Nagaraj, Praneeth Netrapalli, Dheeraj Baby:
Near Optimal Heteroscedastic Regression with Symbiotic Learning. COLT 2023: 3696-3757 - [c5]Aniket Das, Dheeraj M. Nagaraj, Anant Raj:
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms. COLT 2023: 4072-4129 - [c4]Aditya Kiran Pal, Akash Acharjee, Aniket Das, Arghajit Bhowmik, Suman Deb:
Designing an Intangible Tele-Interaction for Point-to-Point Robot Control Using Coercive Gesture Filtering. ICDCIT 2023: 290-302 - [c3]Aniket Das, Dheeraj Nagaraj:
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation. NeurIPS 2023 - [i6]Aniket Das, Dheeraj Nagaraj:
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation. CoRR abs/2305.17558 (2023) - [i5]Dheeraj Baby, Aniket Das, Dheeraj Nagaraj, Praneeth Netrapalli:
Near Optimal Heteroscedastic Regression with Symbiotic Learning. CoRR abs/2306.14288 (2023) - 2022
- [c2]Aniket Das, Bernhard Schölkopf, Michael Muehlebach:
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. NeurIPS 2022 - [i4]Aniket Das, Bernhard Schölkopf, Michael Muehlebach:
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization. CoRR abs/2206.02953 (2022) - 2021
- [j2]Aniket Das, Pandu Ranga Vundavilli, Surekha Benguluri, V. Srinivasa Sai:
Experimental investigations on the electrodeposition of Ni on copper substrate. Int. J. Manuf. Technol. Manag. 35(5): 443-454 (2021) - [j1]Avik Pal, Aniket Das:
TorchGAN: A Flexible Framework for GAN Training and Evaluation. J. Open Source Softw. 6(66): 2606 (2021) - [i3]Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai:
NeurInt : Learning to Interpolate through Neural ODEs. CoRR abs/2111.04123 (2021) - 2020
- [c1]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. WACV 2020: 3017-3031
2010 – 2019
- 2019
- [i2]Avik Pal, Aniket Das:
TorchGAN: A Flexible Framework for GAN Training and Evaluation. CoRR abs/1909.03410 (2019) - [i1]Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai:
Jointly Trained Image and Video Generation using Residual Vectors. CoRR abs/1912.07991 (2019)
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