Vaibhav Singh
PhD Student in Computer Science
Mila, Concordia University · Montreal, Canada
I am a 3rd-year PhD student at Mila and Concordia University, advised by Dr. Eugene Belilovsky. My research focuses on continual learning and efficient inference for large language models.
Previously, I was a Research Intern at ServiceNow, where I worked on efficient diffusion model inference via Mamba-2 backbones. I completed my MS at NYU (working with Dr. Anna Choromanska on EBMs for continual learning), and worked as a Software Engineer at Flipkart.
Research Interests
News
- Mar 2026Paper accepted at ICML 2026 (main conference, ServiceNow Research Internship) — DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
- Jan 2026Paper published in TMLR — Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention
- 2025Paper accepted at CoLLAs 2025 (oral) — Beyond Cosine Decay
- 2025Paper at ICML 2025 ESFOMO workshop — Model Parallelism With Subnetwork Data Parallelism
- 2024Paper at CVPR 2024 CLVISION workshop — Wake-Sleep Energy-Based Models for Continual Learning
- Fall 2024TA for Representation Learning (IFT-6150) at Mila
- 2024Research Assistant at Applied AI Institute, Quebec — RAG system for Cybersecurity Ministry
- 2023Started PhD at Mila, Concordia University
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