Benjamin Grewe
Associate Professor
Studies learning algorithms in biological and artificial neural networks, linking neural circuit recordings to biologically plausible credit assignment in deep learning.
Benjamin Grewe's lab at ETH Zurich works on computational neuroscience & cognition. 24 papers since 2023, 10 at top venues, mostly ICML and TMLR. 13 PhD students. 12 alumni.
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 42%
- PhD students
- 13
- MS students
- 0
- alumni listed
- 12
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 4 · collecting
- 4 papers2025 · T1 1
- 5 papers2024 · T1 2
- 6 papers2023 · T1 3
T1 venuesOtherVenues: ICML, TMLR, CVPR, ICASSP, ICLR
Research focuspaper titles that use each topic's words
- circuit2 papers
- biologically1 paper
- Computational neuroscience & cognition0 papers
- plausible0 papers
- recordings0 papers
Paper list
From the lab homepage.
20269 papers
- CVPR (T1)A Combination of Noise and Bilateral Filters Achieve Supralinear and Scalable Adversarial Robustness in CNNs
- Neuromorphic Computing and EngineeringBiologically inspired memristive neuron capable of on-chip learning
- ICLR (T1)COGITAO: A Procedural Object-Centric Framework to Study Compositional Generalization
- ICML (T1)Continual Learning through Control Minimization
- CUIDemonstration of Adapt4Me: An Uncertainty-Aware Authoring Environment for Personalizing Automatic Speech Recognition to Non-normative Speech
- eLifeInhibition tunes prefrontal circuit dynamics to promote sociosexual behavior in female mice
- Nature MethodesSimultaneous single-cell calcium imaging of neuronal population activity and brain-wide BOLD fMRI
- Neuromorph. Comput. Eng.Temporal hierarchy in spiking neural networks
- ICASSP (T1)Variational Low-Rank Adaptation for Personalized Impaired Speech Recognition
20254 papers
- IEEEA feedback control optimizer for online and hardware-aware training of Spiking Neural Networks
- Disfluency in Spontaneous SpeechAdapting Foundation Speech Recognition Models to Impaired Speech: A Semantic Re-chaining Approach for Personalization of German Speech
- Transactions in Machine Learning ResearchTemporal horizons in forecasting: a performance-learnability trade-off
- ICML (T1)The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training
20245 papers
- IEEE AccessComprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
- Science (T1)Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit
- TMLR (T1)MC Layer Normalization for calibrated uncertainty in Deep Learning
- nature neurosciencePopulation-level coding of avoidance learning in medial prefrontal cortex
- eLifeTheoretical principles explain the structure of the insect head direction circuit
20236 papers
- Cell Reports MethodesAI to the Rescue of Voltage Imaging.
- Biological CyberneticsBio-inspired, task-free continual learning through activity regularization.
- Nature Methods (T1)Deep Brain Imaging in the Move
- Frontiers. Comp. NeuroscLearning Cortical Hierarchies with mporal Hebbian Updates.
- TMLR (T1)Meta-Learning via Classifier (-free) Guidance.
- Nature Communications (T1)Striatum-projecting prefrontal cortex neurons support working memory maintenance
Where alumni went12 listed
Apply to ETH ZurichRolling
Not announced yet
Computer Science Doctorate (D-INFK)
- Round
- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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Data
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- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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