ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.08280
  4. Cited By
Pix2Code: Learning to Compose Neural Visual Concepts as Programs

Pix2Code: Learning to Compose Neural Visual Concepts as Programs

13 February 2024
Antonia Wüst
Wolfgang Stammer
Quentin Delfosse
D. Dhami
Kristian Kersting
ArXivPDFHTML

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
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?
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?
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
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
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
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
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
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
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
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
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
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