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ORCIDSouvik Kundu 0009
Person information
- affiliation: Intel Labs, San Diego, CA, USA
Other persons with the same name
- Souvik Kundu 0001
![[0000-0001-5815-8765]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5815-8765")
— BITS-Pilani Hyderabad Campus, Department of Electrical and Electronics Engineering, India (and 1 more) - Souvik Kundu 0002 — University of Southern California, Los Angeles, CA, USA
- Souvik Kundu 0003 — National University of Singapore, School of Computing, Singapore
- Souvik Kundu 0004 — Vellore Institute of Technology, School of Electronics and Communication Engineering, India
- Souvik Kundu 0005 — Indian Institute of Engineering Science and Technology Shibpur, Department of Electronics and Telecommunication, India
- Souvik Kundu 0006 — Indian Institute of Technology Kharagpur, Department of Mathematics, India
- Souvik Kundu 0007 — Microsoft Dynamics 365 AI
- Souvik Kundu 0008 — University of Western Ontario, London, Canada
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2020 – today
- 2024
[j1]Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu:
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. 2024 (2024)- [c7]Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda:
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. ECCV (13) 2024: 216-235 - [c6]Subhajit Dutta Chowdhury, Zhiyu Ni, Qingyuan Peng, Souvik Kundu, Pierluigi Nuzzo:
Analyzing Adversarial Vulnerabilities of Graph Lottery Tickets. ICASSP 2024: 7830-7834 - [c5]Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric P. Xing, Mikhail Yurochkin:
Fusing Models with Complementary Expertise. ICLR 2024 - [c4]Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang:
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs. ICML 2024 - [i12]Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao:
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. CoRR abs/2403.05527 (2024) - [i11]Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna:
Demystifying Platform Requirements for Diverse LLM Inference Use Cases. CoRR abs/2406.01698 (2024) - [i10]Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin:
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. CoRR abs/2406.05981 (2024) - [i9]Akshat Ramachandran, Souvik Kundu, Tushar Krishna:
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs. CoRR abs/2407.05266 (2024) - [i8]Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov:
Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. CoRR abs/2407.07000 (2024) - [i7]Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang:
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. CoRR abs/2410.03355 (2024) - [i6]Akshat Ramachandran, Souvik Kundu, Tushar Krishna:
MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization. CoRR abs/2411.05282 (2024) - [i5]Sanjay Das, Swastik Bhattacharya, Souvik Kundu, Shamik Kundu, Anand Menon, Arnab Raha, Kanad Basu:
AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks. CoRR abs/2411.13757 (2024) - 2023
- [c3]Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang:
Vision HGNN: An Image is More than a Graph of Nodes. ICCV 2023: 19821-19831 - [c2]Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin:
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. ICML 2023: 10482-10493 - [c1]Duc Hoang, Souvik Kundu, Shiwei Liu, Zhangyang Wang:
Don't just prune by magnitude! Your mask topology is a secret weapon. NeurIPS 2023 - [i4]Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Lin:
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations. CoRR abs/2306.06359 (2023) - [i3]Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric P. Xing, Mikhail Yurochkin:
Fusing Models with Complementary Expertise. CoRR abs/2310.01542 (2023) - [i2]Lu Yin, Shiwei Liu, Ajay Jaiswal, Souvik Kundu, Zhangyang Wang:
Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity. CoRR abs/2310.02277 (2023) - [i1]Subhajit Dutta Chowdhury, Zhiyu Ni, Qingyuan Peng, Souvik Kundu, Pierluigi Nuzzo:
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets. CoRR abs/2312.06568 (2023)
Coauthor Index
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