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Rahul Rahul is the name Buddha gave to his son Chand Chand means "moon" in Sanskrit (राहुल चंद)
I am also part of the ILIAD group. Prior to joining Stanford🌲 I worked as a Research Fellow at Microsoft Research on Transformer Compression & Extreme Classification. My current interests are in RL+LLM and Robotics (You can have super intelligence in an API for 20$/month but it would still be fundamentally limited unless you can give it a physical body).
In the future
I look forward to getting replaced by AGI and work as a Wallace design protein farmer
.
In my previous life, I completed my undergrad in CS from BITS Pilani. For more details, check my CV
Publications
Data Retrieval with Importance Weights for Few-Shot Imitation Learning
Amber Xie, Rahul Chand, Dorsa Sadigh, Joey Hejna
CoRL'25 (Oral) | Conference on Robot Learning
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh*, Rahul Chand*, Yashoteja Prabhu, Manish Gupta, Manik Verma (* = Equal Contribution)
ICLR'24 | International Conference on Learning Representations
DSFormer: Effective Compression of Text-Transformers by Dense-Sparse Weight Factorization
Rahul Chand, Yashoteja Prabhu, Pratyush Kumar
CapsFlow: Optical Flow Estimation with Capsule Networks
Rahul Chand, Rajat Arora, Ram Prabhakar Venkatesh Babu
Open Source
gpu_poor
(1400+ ⭐️)
Tool to check vRAM & token/s requirement for any LLM for
consumer hardware. It supports ggml, HuggingFace, bitsandbytes,
QLoRA & gradient checkpointing. Used over 120k+ times by 20k+ users.
llama2.c-for-dummies
(200+ ⭐️)
Starter tutorial for inference with LLaMA in C
Nemo-RL
(1k+ ⭐️) Contributor
NeMo RL is NVIDIA's open-source post-training library.
Nemo-Gym
(70+ ⭐️) Contributor
NeMo Gym is a framework for building reinforcement learning environments to train LLMs.