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. 2206.05922
  4. Cited By
From Perception to Programs: Regularize, Overparameterize, and Amortize

From Perception to Programs: Regularize, Overparameterize, and Amortize

13 June 2022
Hao Tang
Kevin Ellis
    NAI
ArXivPDFHTML

Papers citing "From Perception to Programs: Regularize, Overparameterize, and Amortize"

11 / 11 papers shown
Title
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
53
2
0
16 Feb 2025
Combining Induction and Transduction for Abstract Reasoning
Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li
Keya Hu
Carter Larsen
Yuqing Wu
Simon Alford
...
Dat Nguyen
Wei-Long Zheng
Zenna Tavares
Yewen Pu
Kevin Ellis
AI4CE
29
7
0
04 Nov 2024
Interpretable Concept-Based Memory Reasoning
Interpretable Concept-Based Memory Reasoning
David Debot
Pietro Barbiero
Francesco Giannini
Gabriele Ciravegna
Michelangelo Diligenti
Giuseppe Marra
LRM
29
7
0
22 Jul 2024
Learning to Edit Visual Programs with Self-Supervision
Learning to Edit Visual Programs with Self-Supervision
R. K. Jones
Renhao Zhang
Aditya Ganeshan
Daniel E. Ritchie
SSL
29
3
0
04 Jun 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing
  Code and Interacting with the Environment
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang
Darren Key
Kevin Ellis
LLMAG
18
27
0
19 Feb 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
Antonia Wüst
Wolfgang Stammer
Quentin Delfosse
D. Dhami
Kristian Kersting
46
13
0
13 Feb 2024
Neurosymbolic Grounding for Compositional World Models
Neurosymbolic Grounding for Compositional World Models
Atharva Sehgal
Arya Grayeli
Jennifer J. Sun
Swarat Chaudhuri
16
5
0
19 Oct 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and
  Mitigation of Reasoning Shortcuts
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Emanuele Marconato
Stefano Teso
Antonio Vergari
Andrea Passerini
27
30
0
31 May 2023
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbavaram Gowtham Reddy
V. Balasubramanian
CML
11
0
0
08 Nov 2022
Learning Differentiable Programs with Admissible Neural Heuristics
Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah
Eric Zhan
Jennifer J. Sun
Abhinav Verma
Yisong Yue
Swarat Chaudhuri
126
43
0
23 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
1