Vimal Thilak

According to our database, Vimal Thilak authored at least 14 papers between 2002 and 2024.

Collaborative distances:

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

2024

The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods.

Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind

Trans. Mach. Learn. Res., 2024

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning.

Etai Littwin, Vimal Thilak, Anand Gopalakrishnan

CoRR, 2024

Towards Automatic Assessment of Self-Supervised Speech Models using Rank.

Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi, Barry-John Theobald, Tatiana Likhomanenko

CoRR, 2024

How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks.

Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind

CoRR, 2024

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures.

Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vanishing Gradients in Reinforcement Finetuning of Language Models.

Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Adaptivity and Modularity for Efficient Generalization Over Task Complexity.

Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio

CoRR, 2023

2022

The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon.

Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind

CoRR, 2022

2021

Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks.

Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind

CoRR, 2021

Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks.

Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang

CoRR, 2021

2011

Passive Polarimetric Imagery-Based Material Classification Robust to Illumination Source Position and Viewpoint.

Thilakam Vimal Thilak Krishna, Charles D. Creusere, David G. Voelz

IEEE Trans. Image Process., 2011

2007

Material Classification using Passive Polarimetric Imagery.

Vimal Thilak, Charles D. Creusere, David G. Voelz

Proceedings of the International Conference on Image Processing, 2007

2004

Tracking of extended size targets in H.264 compressed video using the probabilistic data association filter.

Vimal Thilak, Charles D. Creusere

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2002

Robust bandlimited watermarking with trellis coded modulation.

Aria Nosratinia, Vimal Thilak

Proceedings of the 2002 International Conference on Image Processing, 2002