Harutyunyan, Hrayr

1. Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
   2025/07/14 by Sangmin Bae, Yujin Kim, Bae, Sangmin +19 · 6 voices · 29 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
2. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified\n Neighborhood Mixing
   2019/04/30 by Sami Abu-El-Haija, Bryan Perozzi, Abu-El-Haija, Sami +13 · 29 citations
   Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence in Healthcare #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Social and Information Networks (cs.SI)
3. Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
   2024/10/28 by Sangmin Bae, Bae, Sangmin, Adam Fisch +10 · 2 voices · 11 citations
   Engineering · Computer Science · #cs.CL #cs.LG
4. Continuous Chain of Thought Enables Parallel Exploration and Reasoning
   2025/05/29 by Gozeten, Halil Alperen, Ildiz, M. Emrullah, Zhang, Xuechen +3 · 11 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Information-theoretic generalization bounds for black-box learning algorithms
   2021/10/04 by Harutyunyan, Hrayr, Raginsky, Maxim, Steeg, Greg Ver +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Supervision Complexity and its Role in Knowledge Distillation
   2023/01/28 by Harutyunyan, Hrayr, Rawat, Ankit Singh, Menon, Aditya Krishna +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
   2024/10/24 by Rawat, Ankit Singh, Sadhanala, Veeranjaneyulu, Rostamizadeh, Afshin +12 · 3 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Improving Generalization by Controlling Label-Noise Information in Neural Network Weights
   2020/02/19 by Harutyunyan, Hrayr, Reing, Kyle, Steeg, Greg Ver +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Mimetic Initialization Helps State Space Models Learn to Recall
   2024/10/14 by Asher Trockman, Trockman, Asher, Hrayr Harutyunyan +7 · 2 citations
   Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Simulation Techniques and Applications