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ORCIDVimal Thilak
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2020 – today
- 2024
[j2]Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind:
The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods. Trans. Mach. Learn. Res. 2024 (2024)- [c5]Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin:
Vanishing Gradients in Reinforcement Finetuning of Language Models. ICLR 2024 - [c4]Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin:
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. ICLR 2024 - [i8]Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind:
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. CoRR abs/2407.03475 (2024) - [i7]Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi, Barry-John Theobald, Tatiana Likhomanenko:
Towards Automatic Assessment of Self-Supervised Speech Models using Rank. CoRR abs/2409.10787 (2024) - 2023
- [i6]Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio:
Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR abs/2310.08866 (2023) - [i5]Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin:
Vanishing Gradients in Reinforcement Finetuning of Language Models. CoRR abs/2310.20703 (2023) - [i4]Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin:
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. CoRR abs/2312.04000 (2023) - 2022
- [i3]Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind:
The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon. CoRR abs/2206.04817 (2022) - 2021
- [i2]Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang:
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR abs/2107.00364 (2021) - [i1]Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind:
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. CoRR abs/2107.01301 (2021)
2010 – 2019
- 2011
- [j1]Thilakam Vimal Thilak Krishna, Charles D. Creusere, David G. Voelz:
Passive Polarimetric Imagery-Based Material Classification Robust to Illumination Source Position and Viewpoint. IEEE Trans. Image Process. 20(1): 288-292 (2011)
2000 – 2009
- 2007
- [c3]Vimal Thilak, Charles D. Creusere, David G. Voelz:
Material Classification using Passive Polarimetric Imagery. ICIP (4) 2007: 121-124 - 2004
- [c2]Vimal Thilak, Charles D. Creusere:
Tracking of extended size targets in H.264 compressed video using the probabilistic data association filter. EUSIPCO 2004: 281-284 - 2002
- [c1]Aria Nosratinia, Vimal Thilak:
Robust bandlimited watermarking with trellis coded modulation. ICIP (2) 2002: 141-144
Coauthor Index
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