Vimal Thilak - RankMe

22 papers A* 4Misc 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Path-Constrained Mixture-of-Experts. CoRR Zijin Gu, Tatiana Likhomanenko, Vimal Thilak, Jason Ramapuram, Navdeep Jaitly
2025	J	`jnl`	How PARTs assemble into wholes: Learning the relative composition of images. CoRR Melika Ayoughi, Samira Abnar, Chen Huang, Christopher Michael Sandino, Sayeri Lala, Eeshan Gunesh Dhekane, Dan Busbridge, Shuangfei Zhai, Vimal Thilak, Joshua M. Susskind, Pascal Mettes, Paul Groth, Hanlin Goh
2025	A*	`conf`	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. ICML Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind, Vimal Thilak
2025	J	`jnl`	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. CoRR Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin Mohamed Elnouby Ali, Joshua M. Susskind, Vimal Thilak
2025	J	`jnl`	Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers. CoRR Xianhang Li, Chen Huang, Chun-Liang Li, Eran Malach, Josh M. Susskind, Vimal Thilak, Etai Littwin
2025	Misc	`conf`	Towards Automatic Assessment of Self-Supervised Speech Models using Rank. ICASSP Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi, Barry-John Theobald, Tatiana Likhomanenko
2024	J	`jnl`	Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning. CoRR Etai Littwin, Vimal Thilak, Anand Gopalakrishnan
2024	A*	`conf`	How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. NeurIPS Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
2024	J	`jnl`	How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. CoRR Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
2024	A*	`conf`	LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. ICLR Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2024	J	`jnl`	The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods. Trans. Mach. Learn. Res. Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
2024	J	`jnl`	Towards Automatic Assessment of Self-Supervised Speech Models using Rank. CoRR Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi, Barry-John Theobald, Tatiana Likhomanenko
2024	A*	`conf`	Vanishing Gradients in Reinforcement Finetuning of Language Models. ICLR Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023	J	`jnl`	Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
2023	J	`jnl`	LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. CoRR Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023	J	`jnl`	Vanishing Gradients in Reinforcement Finetuning of Language Models. CoRR Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2022	J	`jnl`	The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon. CoRR Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
2021	J	`jnl`	Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
2021	J	`jnl`	Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. CoRR Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind
2007	—	`conf`	Material Classification using Passive Polarimetric Imagery. ICIP (4) Vimal Thilak, Charles D. Creusere, David G. Voelz
2004	—	`conf`	Tracking of extended size targets in H.264 compressed video using the probabilistic data association filter. EUSIPCO Vimal Thilak, Charles D. Creusere
2002	—	`conf`	Robust bandlimited watermarking with trellis coded modulation. ICIP (2) Aria Nosratinia, Vimal Thilak