Robust bandlimited watermarking with trellis coded modulation. - Aria Nosratinia; Vimal Thilak (ICIP (2), 2002)

Tracking of extended size targets in H.264 compressed video using the probabilistic data association filter. - Vimal Thilak; Charles D. Creusere (EUSIPCO, 2004)

Material Classification using Passive Polarimetric Imagery. - Vimal Thilak; Charles D. Creusere; David G. Voelz (ICIP (4), 2007)

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)

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)

Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. - Shih-Yu Sun; Vimal Thilak; Etai Littwin; Omid Saremi; Joshua M. Susskind (CoRR, 2021)

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)

Adaptivity and Modularity for Efficient Generalization Over Task Complexity. - Samira Abnar; Omid Saremi; Laurent Dinh; Shantel Wilson; Miguel Ángel Bautista 001; Chen Huang 001; Vimal Thilak; Etai Littwin; Jiatao Gu; Josh M. Susskind; Samy Bengio (CoRR, 2023)

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 (ICLR, 2024)

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. - Vimal Thilak; Chen Huang 001; Omid Saremi; Laurent Dinh; Hanlin Goh; Preetum Nakkiran; Joshua M. Susskind; Etai Littwin (ICLR, 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 001; Joshua M. Susskind (NeurIPS, 2024)

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning. - Etai Littwin; Vimal Thilak; Anand Gopalakrishnan (CoRR, 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)

Towards Automatic Assessment of Self-Supervised Speech Models using Rank. - Zakaria Aldeneh; Vimal Thilak; Takuya Higuchi; Barry-John Theobald; Tatiana Likhomanenko (ICASSP, 2025)

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. - Samira Abnar; Harshay Shah; Dan Busbridge; Alaaeldin Mohamed Elnouby Ali; Joshua M. Susskind; Vimal Thilak (CoRR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)