N. Benjamin Erichson
15 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird
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Renaissance Researcher
(5)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(11)
💎
Century Club
(15)
🔥
Unstoppable
(6)
Conferences
ICLR (8)
ICML (3)
AISTATS (2)
NIPS (2)
Top co-authors
Keywords
bootstrap method
(2)
dynamical system
(2)
matrix factorization
(1)
batch normalization
(1)
kernel approximation
(1)
time series forecasting
(1)
singular value decomposition
(1)
matrix approximation
(1)
approximation error
(1)
nonlinear dynamics
(1)
numerical linear algebra
(1)
recurrent neural network
(1)
implicit regularization
(1)
stochastic differential equation
(1)
noise injection
(1)
randomized sketching
(1)
error bound
(1)
autoencoder architecture
(1)
continuous-time model
(1)
random fourier feature
(1)
Papers
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
AISTATS 2025
Tuning Frequency Bias of State Space Models
ICLR 2025
HOPE for a Robust Parameterization of Long-memory State Space Models
ICLR 2025
Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection
ICML 2025
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
ICLR 2024
Robustifying State-space Models for Long Sequences via Approximate Diagonalization
ICLR 2024
Error Estimation for Random Fourier Features
AISTATS 2023
Long Expressive Memory for Sequence Modeling
ICLR 2022
Noisy Feature Mixup
ICLR 2022
Noisy Recurrent Neural Networks
NIPS 2021
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
ICLR 2021
Lipschitz Recurrent Neural Networks
ICLR 2021
Stateful ODE-Nets using Basis Function Expansions
NIPS 2021
Forecasting Sequential Data Using Consistent Koopman Autoencoders
ICML 2020
Error Estimation for Sketched SVD via the Bootstrap
ICML 2020