Ajay Dholakia

43 papers A* 1A 1B 6Journal 13Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings.
CoRR
Sachin Gopal Wani, Eric Page, Ajay Dholakia, David Ellison
2025 — conf
Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection.
VISIGRAPP (2): VISAPP
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Rodrigo M. Carrillo-Larco
2025 A conf
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
AAMAS
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2025 J jnl
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2024 — conf
Evaluation Considerations of Synthetic Natural Language Datasets for Question Answering Applications.
TPCTC
Chris Van Buren, Xiaotong Jiang, Jieyu Lin, Sachin Gopal Wani, Ajay Dholakia, David Ellison
2024 — conf
TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings.
ICPR (29)
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
2023 — conf
Benchmarking Generative AI Performance Requires a Holistic Approach.
TPCTC
Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig
2023 — conf
Benchmarking Large Language Models: Opportunities and Challenges.
TPCTC
Miro Hodak, David Ellison, Chris Van Buren, Xiaotong Jiang, Ajay Dholakia
2023 J jnl
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison
2022 — conf
Benchmarking Considerations for Trustworthy and Responsible AI (Panel).
TPCTC
Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta
2022 B conf
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
COMPSAC
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 — conf
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI.
TPCTC
Yingrui Liu Olesiuk, Miro Hodak, David Ellison, Ajay Dholakia
2022 B conf
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters.
CCGRID
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2022 J jnl
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin.
Expert Syst. Appl.
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
2021 — conf
Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results.
TPCTC
Miro Hodak, David Ellison, Ajay Dholakia
2021 — conf
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability.
IEEE BigData
Miro Hodak, Ajay Dholakia
2021 J jnl
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging.
CoRR
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
2021 — conf
Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters.
Middleware Demos/Posters
Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak
2020 — conf
Benchmarking AI Inference: Where we are in 2020.
TPCTC
Miro Hodak, David Ellison, Ajay Dholakia
2020 J jnl
Big data deployment in containerized infrastructures through the interconnection of network namespaces.
Softw. Pract. Exp.
Carla Sauvanaud, Ajay Dholakia, Jordi Guitart, Chulho Kim, Peter Mayes
2019 — conf
Challenges in Distributed MLPerf.
TPCTC
Miro Hodak, Ajay Dholakia
2019 — conf
Towards Power Efficiency in Deep Learning on Data Center Hardware.
IEEE BigData
Miro Hodak, Masha Gorkovenko, Ajay Dholakia
2018 — conf
Industry Panel on Defining Industry Standards for Benchmarking Artificial Intelligence.
TPCTC
Raghunath Nambiar, Shahram Ghandeharizadeh, Gary Little, Christoph Boden, Ajay Dholakia
2018 — conf
Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching.
IEEE BigData
Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia
2018 — conf
Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment.
TPCTC
Miro Hodak, Ajay Dholakia
2017 — conf
Designing a high performance cluster for large-scale SQL-on-hadoop analytics.
IEEE BigData
Ajay Dholakia, Prasad Venkatachar, Kshitij A. Doshi, Ravikanth Durgavajhala, Stewart Tate, Berni Schiefer, Matthew Sheard, Ramnath Sai Sagar
2008 J jnl
A new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors.
ACM Trans. Storage
Ajay Dholakia, Evangelos Eleftheriou, Xiao-Yu Hu, Ilias Iliadis, Jai Menon, K. K. Rao
2006 — conf
Analysis of a new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors.
SIGMETRICS/Performance
Ajay Dholakia, Evangelos Eleftheriou, Xiao-Yu Hu, Ilias Iliadis, Jai Menon, K. K. Rao
2005 J jnl
Reduced-Complexity Decoding of LDPC Codes.
IEEE Trans. Commun.
Jinghu Chen, Ajay Dholakia, Evangelos Eleftheriou, Marc P. C. Fossorier, Xiao-Yu Hu
2004 J jnl
Capacity-approaching codes: can they be applied to the magnetic recording channel?
IEEE Commun. Mag.
Ajay Dholakia, Evangelos Eleftheriou, Thomas Mittelholzer, Marc P. C. Fossorier
2004 B conf
Rate-compatible array LDPC codes.
ISIT
Ajay Dholakia, Sedat Ölçer
2004 — conf
Rate-compatible low-density parity-check codes for digital subscriber lines.
ICC
Ajay Dholakia, Sedat Ölçer
2003 A* conf
A Nanotechnology-based Approach to Data Storage.
VLDB
Evangelos Eleftheriou, Peter Bächtold, Giovanni Cherubini, Ajay Dholakia, Christoph Hagleitner, Teddy Loeliger, Aggeliki Pantazi, Haralampos Pozidis, T. R. Albrecht, Gerd Karl Binnig, Michel Despont, Ute Drechsler, Urs Dürig, Bernd Gotsmann, Daniel Jubin, Walter Häberle, Mark A. Lantz, Hugo E. Rothuizen, Richard Stutz, Peter Vettiger, Dorothea Wiesmann
2001 B conf
Application of high-rate tail-biting codes to generalized partial response channels.
GLOBECOM
Michael Tüchler, Christian Weiss, Evangelos Eleftheriou, Ajay Dholakia, Joachim Hagenauer
2001 B conf
Efficient implementations of the sum-product algorithm for decoding LDPC codes.
GLOBECOM
Xiao-Yu Hu, Evangelos Eleftheriou, Dieter-Michael Arnold, Ajay Dholakia
1998 J jnl
On Locally Invertible Rate-1/n Convolutional Encoders.
IEEE Trans. Inf. Theory
Donald L. Bitzer, Ajay Dholakia, Havish Koorapaty, Mladen A. Vouk
1998 J jnl
Performance evaluation of burst-error-correcting codes on a Gilbert-Elliott channel.
IEEE Trans. Commun.
Gaurav Sharma, Amer A. Hassan, Ajay Dholakia
1995 J jnl
Table based decoding of rate one-half convolutional codes.
IEEE Trans. Commun.
Ajay Dholakia, Mladen A. Vouk, Donald L. Bitzer
1994 B conf
A variable-redundancy hybrid ARQ scheme using invertible convolutional codes.
VTC
Ajay Dholakia, Mladen A. Vouk, Donald L. Bitzer
1993 — conf
A Lost Cell Recovery Technique Using Convolutional Coding at the ATM Adaptation Layer in B-ISDN/ATM.
Data Communication Networks and their Performance
Ajay Dholakia, Mladen A. Vouk, Donald L. Bitzer
1992 — conf
An efficient table-driven decoder for one-half rate convolutional codes.
ACM Southeast Regional Conference
Ajay Dholakia, T. M. Lee, Donald L. Bitzer, Mladen A. Vouk, L. Wang, Paul D. Franzon
1992 — conf
Table-Driven Decoding of Convolutional Codes with Soft Decision.
Coding And Quantization
Havish Koorapaty, Donald L. Bitzer, Ajay Dholakia, Mladen A. Vouk