Hrayr Harutyunyan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 24

Top Topics

Generalization Bounds

Convex Minimization

Top Venues

Publications

Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR (2023)
Hrayr Harutyunyan
On information captured by neural networks: connections with memorization and generalization. CoRR (2023)
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
Supervision Complexity and its Role in Knowledge Distillation. CoRR (2023)
Rafayel Darbinyan, Hrayr Harutyunyan, Aram H. Markosyan, Hrant Khachatrian
Identifying and Disentangling Spurious Features in Pretrained Image Representations. CoRR (2023)
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
Supervision Complexity and its Role in Knowledge Distillation. ICLR (2023)
Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR (2023)
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
Formal limitations of sample-wise information-theoretic generalization bounds. ITW (2022)
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Failure Modes of Domain Generalization Algorithms. CVPR (2022)
K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan
Identifying geopolitical event precursors using attention-based LSTMs. Frontiers Artif. Intell. 5 (2022)
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
Formal limitations of sample-wise information-theoretic generalization bounds. CoRR (2022)
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
Information-theoretic generalization bounds for black-box learning algorithms. CoRR (2021)
Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Estimating informativeness of samples with Smooth Unique Information. ICLR (2021)
Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Estimating informativeness of samples with Smooth Unique Information. CoRR (2021)
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Failure Modes of Domain Generalization Algorithms. CoRR (2021)
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
Information-theoretic generalization bounds for black-box learning algorithms. NeurIPS (2021)
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
Improving generalization by controlling label-noise information in neural network weights. ICML (2020)
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights. CoRR (2020)
Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Efficient Covariance Estimation from Temporal Data. CoRR (2019)
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. ICML (2019)
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan
Fast structure learning with modular regularization. NeurIPS (2019)
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. CoRR (2019)
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Aram Galstyan
Multitask Learning and Benchmarking with Clinical Time Series Data. CoRR (2017)
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
Disentangled Representations via Synergy Minimization. CoRR (2017)
Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan
Disentangled representations via synergy minimization. Allerton (2017)