Makkuva, Ashok Vardhan

1. Optimal transport mapping via input convex neural networks
   2019/08/28 by Ashok Vardhan Makkuva, Amirhossein Taghvaei, Makkuva, Ashok Vardhan +5 · 25 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
2. Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains
   2024/02/06 by Makkuva, Ashok Vardhan, Bondaschi, Marco, Girish, Adway +4 · 10 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Transformers on Markov Data: Constant Depth Suffices
   2024/07/25 by Nived Rajaraman, Rajaraman, Nived, Marco Bondaschi +7 · 12 citations
   Computer Science · Mathematics · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques
4. KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
   2021/08/29 by Makkuva, Ashok Vardhan, Liu, Xiyang, Jamali, Mohammad Vahid +3 · 5 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT)
5. Local to Global: Learning Dynamics and Effect of Initialization for Transformers
   2024/06/05 by Ashok Vardhan Makkuva, Marco Bondaschi, Makkuva, Ashok Vardhan +11 · 7 citations
   Psychology · #FOS: Computer and information sciences #Information Theory (cs.IT) #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
   2022/10/01 by Hebbar, S Ashwin, Nadkarni, Viraj, Makkuva, Ashok Vardhan +3 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
7. Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
   2024/07/22 by Alliot Nagle, Nagle, Alliot, Adway Girish +9 · 3 citations
   Computer Science · #Embedded Systems Design Techniques #Parallel Computing and Optimization Techniques
8. Equivalence of additive-combinatorial linear inequalities for Shannon entropy and differential entropy
   2016/01/27 by Makkuva, Ashok Vardhan, Wu, Yihong · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT)
9. From Markov to Laplace: How Mamba In-Context Learns Markov Chains
   2025/02/14 by Bondaschi, Marco, Rajaraman, Nived, Wei, Xiuying +5 · 4 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
10. Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
    2021/02/02 by Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan +3 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
11. LASER: Linear Compression in Wireless Distributed Optimization
    2023/10/19 by Ashok Vardhan Makkuva, Makkuva, Ashok Vardhan, Marco Bondaschi +8 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques