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Irina Rish — most-cited papers & profile · Large Language Models
← authors
·
overview
Irina Rish
21
papers ·
134
citations ·
35
h-index
Université du Québec à Montréal · Mila - Quebec Artificial Intelligence Institute · Concordia University · Université de Montréal
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Most-cited papers
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
2023 · 34 citations
Towards Continual Reinforcement Learning: A Review and Perspectives
2020 · 29 citations
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
2020 · 19 citations
Knowledge Distillation for Federated Learning: a Practical Guide
2022 · 18 citations
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
2019 · 13 citations
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
2022 · 9 citations
Gradient Masked Averaging for Federated Learning
2022 · 6 citations
Towards Causal Federated Learning For Enhanced Robustness and Privacy
2021 · 3 citations
Continual Learning In Environments With Polynomial Mixing Times
2021 · 2 citations
GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models
2024 · 1 citations
On the Adversarial Robustness of Discrete Image Tokenizers
2026
Small Vocabularies, Big Gains: Pretraining and Tokenization in Time Series Models
2025
Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?
2025
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
2025
Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
2025
Topics
Federated Learning
Game AI
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Model-Based RL
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