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Saurav Jha

Mila - the Quebec AI Institute

14 papers hereh-index 8263 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author9
  • middle author2

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL3
  • cs.LG3
  • cs.AI1
  • eess.SP1
affiliations
  • Mila - the Quebec AI Institute
  • Polytechnique Montreal
Homepage
same name
  • Saurav Jha — 3 papers, h 2
  • Saurav Jha — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedContinual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis

66 citations · 101 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.LG2026

AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework

Aparajith Chandran, Juwon Kim, Saurav Jha +2

Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at scale. We apply Andrej Karp…

cs.CV2026

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

Nilaksh, Saurav Jha, Artem Zholus +1

World model-based policy evaluation is a practical proxy for testing real-world robot control by rolling out candidate actions in action-conditioned video diffusion models. As thes…

cs.AI2026

REAM: Merging Improves Pruning of Experts in LLMs

Saurav Jha, Maryam Hashemzadeh, Ali Saheb Pasand +3

Mixture-of-Experts (MoE) large language models (LLMs) are among the top-performing architectures. The largest models, often with hundreds of billions of parameters, pose significan…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.