Robert Birke

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 99

Top Venues

CoRR

IEEE Trans. Netw. Serv. Manag.

ICAC

ACML

Publications

Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
On Dark Knowledge for Distilling Generators. PAKDD (2) (2024)
Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
DALLMi: Domain Adaption for LLM-based Multi-label Classifier. CoRR (2024)
Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova
Guest Editorial: Special section on Networks, Systems, and Services Operations and Management Through Intelligence. IEEE Trans. Netw. Serv. Manag. 21 (3) (2024)
Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen
SFDDM: Single-fold Distillation for Diffusion models. CoRR (2024)
Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) (2024)
Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen
CTAB-GAN+: enhancing tabular data synthesis. Frontiers Big Data 6 (2024)
Bruno Casella, Iacopo Colonnelli, Gianluca Mittone, Robert Birke, Walter Riviera, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci
A Performance Analysis for Confidential Federated Learning. SP (Workshops) (2024)
Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
Exploring and Exploiting Data-Free Model Stealing. ECML/PKDD (5) (2023)
Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci
Model-Agnostic Federated Learning. Euro-Par (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
GDTS: GAN-Based Distributed Tabular Synthesizer. CLOUD (2023)
Marco Aldinucci, Robert Birke, Antonio Brogi, Emanuele Carlini, Massimo Coppola, Marco Danelutto, Patrizio Dazzi, Luca Ferrucci, Stefano Forti, Hanna Kavalionak, Gabriele Mencagli, Matteo Mordacchini, Marcelo Pasin, Federica Paganelli, Massimo Torquati
A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum. COMPSAC (2023)
Gianluca Mittone, Giulio Malenza, Marco Aldinucci, Robert Birke
Distributed Edge Inference: an Experimental Study on Multiview Detection. UCC (2023)
Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise. CoRR (2023)
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi, Leandro Fiorin, Serena Curzel, Luca Benini, Francesco Conti, Angelo Garofalo, Cristian Zambelli, Enrico Calore, Sebastiano Fabio Schifano, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Stefania Perri, Nicola Petra, Davide De Caro, Luciano Lavagno, Teodoro Urso, Valeria Cardellini, Gian Carlo Cardarilli, Robert Birke
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. CoRR (2023)
Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. CoRR (2023)
Gianluca Mittone, Robert Birke, Marco Aldinucci
Efficiently Distributed Federated Learning. Euro-Par Workshops (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
TabuLa: Harnessing Language Models for Tabular Data Synthesis. CoRR (2023)
Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. CF (2023)
Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine
Guest Editorial: Special Section on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part II. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
William Fornaciari, Federico Reghenzani, Federico Terraneo, Davide Baroffio, Cecilia Metra, Martin Omaña, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Robert Birke, Iacopo Colonnelli, Gianluca Mittone, Marco Aldinucci, Gabriele Mencagli, Francesco Iannone, Filippo Palombi, Giuseppe Zummo, Daniele Cesarini, Federico Tesser
RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. SAMOS (2023)
Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci
Model-Agnostic Federated Learning. CoRR (2023)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Robust Learning via Golden Symmetric Loss of (un)Trusted Labels. SDM (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform. CIKM (2023)
Zilong Zhao, Robert Birke, Lydia Y. Chen
FCT-GAN: Enhancing Table Synthesis via Fourier Transform. CoRR (2022)
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
Permutation-Invariant Tabular Data Synthesis. CoRR (2022)
Bart Cox, Robert Birke, Lydia Y. Chen
Memory-aware and context-aware multi-DNN inference on the edge. Pervasive Mob. Comput. 83 (2022)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
LABNET: A Collaborative Method for DNN Training and Label Aggregation. ICAART (2) (2022)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Multi Label Loss Correction against Missing and Corrupted Labels. ACML (2022)
Christopher Stewart, Nathaniel Morris, Lydia Y. Chen, Robert Birke
Performance Modeling for Short-Term Cache Allocation. ICPP (2022)
Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine
Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part I. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen
Permutation-Invariant Tabular Data Synthesis. Big Data (2022)
Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
Trusted Loss Correction for Noisy Multi-Label Learning. ACML (2022)
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
CTAB-GAN+: Enhancing Tabular Data Synthesis. CoRR (2022)
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. CoRR (2021)
Jeroen Galjaard, Bart Cox, Amirmasoud Ghiassi, Lydia Y. Chen, Robert Birke
MemA: Fast Inference of Multiple Deep Models. PerCom Workshops (2021)
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
CTAB-GAN: Effective Table Data Synthesizing. ACML (2021)
Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data. CoRR (2021)
Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen
sPARE: Partial Replication for Multi-Tier Applications in the Cloud. IEEE Trans. Serv. Comput. 14 (2) (2021)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Enhancing Robustness of On-Line Learning Models on Highly Noisy Data. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. BDCAT (2021)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: Active Learning on Noisy Labels. ACML (2021)
Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen
Online Label Aggregation: A Variational Bayesian Approach. WWW (2021)
Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen
CTAB-GAN: Effective Table Data Synthesizing. CoRR (2021)
Hanan Lutfiyya, Robert Birke, Giuliano Casale, Amogh Dhamdhere, Jinho Hwang, Takeru Inoue, Neeraj Kumar, Deepak Puthal, Nur Zincir-Heywood
Guest Editorial: Special Section on Embracing Artificial Intelligence for Network and Service Management. IEEE Trans. Netw. Serv. Manag. 18 (4) (2021)
Giuliano Albanese, Robert Birke, Georgia Giannopoulou, Sandro Schönborn, Thanikesavan Sivanthi
Evaluation of Networking Options for Containerized Deployment of Real-Time Applications. ETFA (2021)
Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen
DTGAN: Differential Private Training for Tabular GANs. CoRR (2021)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Enhancing Robustness of On-line Learning Models on Highly Noisy Data. CoRR (2021)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
LABELNET: Recovering Noisy Labels. IJCNN (2021)
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Masa: Responsive Multi-DNN Inference on the Edge. PerCom (2021)
Bart Cox, Jeroen Galjaard, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
Artifact: Masa: Responsive Multi-DNN Inference on the Edge. PerCom Workshops (2021)
Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. CoRR (2020)
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CoRR (2020)
Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. Middleware (2020)
Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. CogMI (2020)
Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. CoRR (2020)
Joel Vallone, Robert Birke, Lydia Y. Chen
Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention. IEEE Trans. Serv. Comput. 13 (5) (2020)
Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
QActor: On-line Active Learning for Noisy Labeled Stream Data. CoRR (2020)
Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. ICASSP (2020)
Amirmasoud Ghiassi, Robert Birke, Rui Han, Lydia Y. Chen
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels. CoRR (2020)
Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen
Differential Approximation and Sprinting for Multi-Priority Big Data Engines. Middleware (2019)
Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
Robust Anomaly Detection on Unreliable Data. DSN (2019)
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. DGS@ICLR (2019)
Panin Pienroj, Sandro Schönborn, Robert Birke
Exploring Deep Reinforcement Learning for Autonomous Powerline Tracking. INFOCOM Workshops (2019)
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
WiSE-VAE: Wide Sample Estimator VAE. CoRR (2019)
Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark
Learning Semantically Meaningful Embeddings Using Linear Constraints. CVPR Workshops (2019)
Robert Birke, Juan F. Pérez, Sonia Ben Mokhtar, Navaneeth Rameshan, Lydia Y. Chen
Chisel: Reshaping Queries to Trim Latency in Key-Value Stores. ICAC (2019)
Robert Birke, Isabelly Rocha, Juan F. Pérez, Valerio Schiavoni, Pascal Felber, Lydia Y. Chen
Differential Approximation and Sprinting for Multi-Priority Big Data Engines. CoRR (2019)
Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen
Robust (Deep) Learning Framework Against Dirty Labels and Beyond. TPS-ISA (2019)
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
RAD: On-line Anomaly Detection for Highly Unreliable Data. CoRR (2019)
Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni
Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers. IEEE Trans. Netw. Serv. Manag. 15 (1) (2018)
Cheng Wang, Bhuvan Urgaonkar, George Kesidis, Aayush Gupta, Lydia Y. Chen, Robert Birke
Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ACM Trans. Auton. Adapt. Syst. 13 (1) (2018)
Ewnetu Bayuh Lakew, Robert Birke, Juan F. Pérez, Erik Elmroth, Lydia Y. Chen
SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems. ICAC (2018)
Mathias Björkqvist, Natarajan Gautam, Robert Birke, Lydia Y. Chen, Walter Binder
Optimizing for Tail Sojourn Times of Cloud Clusters. IEEE Trans. Cloud Comput. 6 (1) (2018)
Philipp Sommer, Yvonne-Anne Pignolet, Stevan Marinkovic, Aurelien Monot, Maelle Kabir-Querrec, Robert Birke
Competition: Energy-Efficient Many-to-Many Communication with Channel-Hopping. EWSN (2018)
Nathaniel Morris, Christopher Stewart, Lydia Y. Chen, Robert Birke, Jaimie Kelley
Model-driven computational sprinting. EuroSys (2018)
Zhan Qiu, Juan F. Pérez, Robert Birke, Lydia Y. Chen, Peter G. Harrison
Cutting Latency Tail: Analyzing and Validating Replication without Canceling. IEEE Trans. Parallel Distributed Syst. 28 (11) (2017)
Juan F. Pérez, Robert Birke, Mathias Björkqvist, Lydia Y. Chen
Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment. ICDCS (2017)
Haiyang Sun, Robert Birke, Walter Binder, Mathias Björkqvist, Lydia Y. Chen
AccStream: Accuracy-Aware Overload Management for Stream Processing Systems. ICAC (2017)
Nathaniel Morris, Christopher Stewart, Robert Birke, Lydia Y. Chen, Jaimie Kelley
Early work on modeling computational sprinting. SoCC (2017)
Robert Birke, Mathias Björkqvist, Evangelia Kalyvianaki, Lydia Y. Chen
Meeting Latency Target in Transient Burst: A Case on Spark Streaming. IC2E (2017)
Juan F. Pérez, Robert Birke, Lydia Y. Chen
On the latency-accuracy tradeoff in approximate MapReduce jobs. INFOCOM (2017)
Robert Birke, Juan F. Pérez, Zhan Qiu, Mathias Björkqvist, Lydia Y. Chen
Power of redundancy: Designing partial replication for multi-tier applications. INFOCOM (2017)
Luca Chiaraviglio, Nicola Blefari-Melazzi, William Liu, Jairo A. Gutiérrez, Jaap van de Beek, Robert Birke, Lydia Y. Chen, Filip Idzikowski, Daniel C. Kilper, Paolo Monti, Antoine B. Bagula, Jinsong Wu
Bringing 5G into Rural and Low-Income Areas: Is It Feasible? IEEE Commun. Stand. Mag. 1 (3) (2017)
Sophie Cerf, Vincent Primault, Antoine Boutet, Sonia Ben Mokhtar, Robert Birke, Sara Bouchenak, Lydia Y. Chen, Nicolas Marchand, Bogdan Robu
PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data. SRDS (2017)
Luca Chiaraviglio, Nicola Blefari-Melazzi, William Liu, Jairo A. Gutiérrez, Jaap van de Beek, Robert Birke, Lydia Y. Chen, Filip Idzikowski, Daniel C. Kilper, Paolo Monti, Jinsong Wu
5G in rural and low-income areas: Are we ready? Kaleidoscope (2016)
Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni
Tale of Tails: Anomaly Avoidance in Data Centers. SRDS (2016)
Robert Birke, Mathias Björkqvist, Evangelia Kalyvianaki, Lydia Y. Chen
Dslash: Managing Data in Overloaded Batch Streaming Systems. ICDCS (2016)
Ji Xue, Robert Birke, Lydia Y. Chen, Evgenia Smirni
Managing Data Center Tickets: Prediction and Active Sizing. DSN (2016)
Cheng Wang, Bhuvan Urgaonkar, Aayush Gupta, Lydia Y. Chen, Robert Birke, George Kesidis
Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability. ICAC (2016)
Ji Xue, Evgenia Smirni, Thomas Scherer, Robert Birke, Lydia Y. Chen
PROST: Predicting Resource Usages with Spatial and Temporal Dependencies. ICPE (2016)
Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin L. Schmatz, Lydia Y. Chen
Profiling Memory Vulnerability of Big-Data Applications. DSN Workshops (2016)
Nathaniel Morris, Siva Meenakshi Renganathan, Christopher Stewart, Robert Birke, Lydia Y. Chen
Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity? ICAC (2016)
Diarmuid Grimes, Deepak Mehta, Barry O'Sullivan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Ignacio Castiñeiras
Robust Server Consolidation: Coping with Peak Demand Underestimation. MASCOTS (2016)
Robert Birke, Zhan Qiu, Juan F. Pérez, Lydia Y. Chen
Defeating variability in cloud applications by multi-tier workload redundancy. INFOCOM Workshops (2016)
Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen, Robert Birke
On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2 (1) (2016)
Robert Birke, Andrej Podzimek, Lydia Y. Chen, Evgenia Smirni
Virtualization in the Private Cloud: State of the Practice. IEEE Trans. Netw. Serv. Manag. 13 (3) (2016)
Robert Birke, Evangelia Kalyvianaki, Walter Binder, Martin L. Schmatz, Lydia Y. Chen
Dynamic Block Sizing for Data Stream Processing Systems. IC2E Workshops (2016)
Mathias Björkqvist, Robert Birke, Walter Binder
Resource management of replicated service systems provisioned in the cloud. NOMS (2016)
J. Ignacio Torrens, Deepak Mehta, Vojtech Zavrel, Diarmuid Grimes, Thomas Scherer, Robert Birke, Lydia Y. Chen, Susan Rea, Lara Lopez, Enric Pages, Dirk Pesch
Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience. CLOSER (2) (2016)
Thomas Scherer, Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Evgenia Smirni
PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. UCC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Robert Birke