Benjamin Bowman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Spherical Harmonics

Distributed Representations

Cognitive Systems

Series Expansion

Top Venues

Publications

Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR (2024)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. ICCV (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR (2023)
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR (2023)
Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto
SAFE: Machine Unlearning With Shard Graphs. CoRR (2023)
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar
Characterizing the spectrum of the NTK via a power series expansion. ICLR (2023)
Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR (2023)
Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS (2023)
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar
Characterizing the Spectrum of the NTK via a Power Series Expansion. CoRR (2022)
Benjamin Bowman, Guido F. Montúfar
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime. NeurIPS (2022)
Benjamin Bowman, Guido Montúfar
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. ICLR (2022)
Benjamin Bowman, Guido Montúfar
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. CoRR (2022)
Benjamin Bowman, Guido Montúfar
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime. CoRR (2022)
Benjamin Bowman, H. Howie Huang
Towards Next-Generation Cybersecurity with Graph AI. ACM SIGOPS Oper. Syst. Rev. 55 (1) (2021)
Benjamin Bowman, H. Howie Huang
VGRAPH: A Robust Vulnerable Code Clone Detection System Using Code Property Triplets. EuroS&P (2020)
Benjamin Bowman, Craig Laprade, Yuede Ji, H. Howie Huang
Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph AI. RAID (2020)
Craig Laprade, Benjamin Bowman, H. Howie Huang
PicoDomain: A Compact High-Fidelity Cybersecurity Dataset. CoRR (2020)
Yuede Ji, Benjamin Bowman, H. Howie Huang
Securing Malware Cognitive Systems against Adversarial Attacks. ICCC (2019)