Picture for Michael Hersche

Michael Hersche

IBM Research - Zurich, ETH Zurich

Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?

Add code
Mar 14, 2025
Viaarxiv icon

On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages

Add code
Dec 26, 2024
Figure 1 for On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
Figure 2 for On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
Figure 3 for On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
Figure 4 for On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
Viaarxiv icon

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning

Add code
Dec 07, 2024
Figure 1 for Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Figure 2 for Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Figure 3 for Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Figure 4 for Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Viaarxiv icon

On the Role of Noise in Factorizers for Disentangling Distributed Representations

Add code
Nov 30, 2024
Viaarxiv icon

Terminating Differentiable Tree Experts

Add code
Jul 02, 2024
Figure 1 for Terminating Differentiable Tree Experts
Figure 2 for Terminating Differentiable Tree Experts
Figure 3 for Terminating Differentiable Tree Experts
Figure 4 for Terminating Differentiable Tree Experts
Viaarxiv icon

Towards Learning Abductive Reasoning using VSA Distributed Representations

Add code
Jun 27, 2024
Figure 1 for Towards Learning Abductive Reasoning using VSA Distributed Representations
Figure 2 for Towards Learning Abductive Reasoning using VSA Distributed Representations
Figure 3 for Towards Learning Abductive Reasoning using VSA Distributed Representations
Figure 4 for Towards Learning Abductive Reasoning using VSA Distributed Representations
Viaarxiv icon

12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning

Add code
Mar 12, 2024
Figure 1 for 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Figure 2 for 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Figure 3 for 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Figure 4 for 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Viaarxiv icon

Zero-shot Classification using Hyperdimensional Computing

Add code
Jan 30, 2024
Viaarxiv icon

Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures

Add code
Jan 29, 2024
Figure 1 for Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Figure 2 for Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Figure 3 for Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Figure 4 for Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Viaarxiv icon

TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing

Add code
Dec 09, 2023
Figure 1 for TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Figure 2 for TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Figure 3 for TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Figure 4 for TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Viaarxiv icon