Rajendran, Goutham

1. Identifiability of deep generative models without auxiliary information
   2022/06/20 by Bohdan Kivva, Goutham Rajendran, Kivva, Bohdan +5 · 12 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare #Gaussian Processes and Bayesian Inference
2. On the Origins of Linear Representations in Large Language Models
   2024/03/06 by Yibo Jiang, Jiang, Yibo, Goutham Rajendran +7 · 16 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques
3. Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
   2023/06/04 by Simon Buchholz, Buchholz, Simon, Goutham Rajendran +9 · 12 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
4. Learning latent causal graphs via mixture oracles
   2021/06/29 by Bohdan Kivva, Kivva, Bohdan, Goutham Rajendran +5 · 5 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
5. Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
   2024/06/26 by Yibo Jiang, Goutham Rajendran, Jiang, Yibo +5 · 4 citations
   Computer Science · #Neural Networks and Applications
6. Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
   2024/02/14 by Rajendran, Goutham, Buchholz, Simon, Aragam, Bryon +2 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
7. Sum-of-Squares Lower Bounds for Sherrington-Kirkpatrick via Planted\n Affine Planes
   2020/09/03 by Mrinalkanti Ghosh, Ghosh, Mrinalkanti, Fernando Granha Jeronimo +7 · 1 citation
   Computer Science · Engineering · #Combinatorics (math.CO) #Complexity and Algorithms in Graphs #Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning and Algorithms #Reliability and Maintenance Optimization
8. Machinery for Proving Sum-of-Squares Lower Bounds on Certification Problems
   2020/11/09 by Potechin, Aaron, Rajendran, Goutham · 1 citation
   #Computational Complexity (cs.CC) #FOS: Computer and information sciences
9. Sum-of-Squares Lower Bounds for Sparse Independent Set
   2021/11/17 by Jones, Chris, Potechin, Aaron, Rajendran, Goutham +2 · 1 citation
   #Computational Complexity (cs.CC) #FOS: Computer and information sciences
10. Efficient Certificates of Anti-Concentration Beyond Gaussians
    2024/05/23 by Ainesh Bakshi, Bakshi, Ainesh, Pravesh K. Kothari +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Statistical Process Monitoring #Data Structures and Algorithms (cs.DS) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
    2023/11/29 by Goutham Rajendran, Rajendran, Goutham, Patrik Reizinger +5 · 1 citation
    Computer Science · #Blind Source Separation Techniques #Neural Networks and Applications #Gaussian Processes and Bayesian Inference