Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2402.08280
Cited By
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
13 February 2024
Antonia Wüst
Wolfgang Stammer
Quentin Delfosse
D. Dhami
Kristian Kersting
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Pix2Code: Learning to Compose Neural Visual Concepts as Programs"
13 / 13 papers shown
Title
Talking Back -- human input and explanations to interactive AI systems
Alan Dix
Tommaso Turchi
Ben Wilson
Anna Monreale
Matt Roach
44
0
0
06 Mar 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
47
2
0
16 Feb 2025
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
S. Natarajan
Saurabh Mathur
Sahil Sidheekh
Wolfgang Stammer
Kristian Kersting
73
2
0
18 Dec 2024
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
Antonia Wüst
Tim Nelson Tobiasch
Lukas Helff
Inga Ibs
Wolfgang Stammer
D. Dhami
Constantin Rothkopf
Kristian Kersting
CoGe
ReLM
VLM
LRM
54
1
0
25 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
27
2
0
18 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
D. Dhami
Kristian Kersting
33
3
0
15 Oct 2024
OCALM: Object-Centric Assessment with Language Models
Timo Kaufmann
Jannis Blüml
Antonia Wüst
Quentin Delfosse
Kristian Kersting
Eyke Hüllermeier
LM&Ro
LRM
24
1
0
24 Jun 2024
Neural Concept Binder
Wolfgang Stammer
Antonia Wüst
David Steinmann
Kristian Kersting
OCL
26
4
0
14 Jun 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu
Chan-Hung Yu
Wei-Hsu Lee
Cheng-Wei Hung
Yen-Chun Chen
Shao-Hua Sun
46
3
0
26 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Hector Kohler
Quentin Delfosse
R. Akrour
Kristian Kersting
Philippe Preux
38
14
0
23 May 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
41
18
0
11 Jan 2024
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer
Marius Memmel
P. Schramowski
Kristian Kersting
76
25
0
04 Dec 2021
Pix2seq: A Language Modeling Framework for Object Detection
Ting-Li Chen
Saurabh Saxena
Lala Li
David J. Fleet
Geoffrey E. Hinton
MLLM
ViT
VLM
233
341
0
22 Sep 2021
1