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T. Weber

45 papers hereh-index 338.7k citations67 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author30
  • last author8

Across the 39 of 45 papers where every author was matched, so the position is known.

fields
  • cs.LG22
  • cs.AI11
  • cs.CV4
  • stat.ML3
  • cs.CL2
  • cs.SE1
same name
  • T. Weber — 161 papers, h 37
  • T. Weber — 37 papers
  • T. Weber — 14 papers, h 33
  • T. Weber — 10 papers, h 8
  • T. Weber — 10 papers, h 12
  • T. Weber — 10 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedDeep Reinforcement Learning in Large Discrete Action Spaces

265 citations · 1.6k across the 43 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Laser: Latent Set Representations for 3D Generative Modeling

Pol Moreno, Adam R. Kosiorek, Heiko Strathmann +6

NeRF provides unparalleled fidelity of novel view synthesis: rendering a 3D scene from an arbitrary viewpoint. NeRF requires training on a large number of views that fully cover a…

cs.CV2019★ 24 cited

Unsupervised Doodling and Painting with Improved SPIRAL

John F. J. Mellor, Eunbyung Park, Yaroslav Ganin +7

We investigate using reinforcement learning agents as generative models of images (extending arXiv:1804.01118). A generative agent controls a simulated painting environment, and is…

cs.CV2017★ 69 cited

Visual Interaction Networks

Nicholas Watters, Andrea Tacchetti, Theophane Weber +3

From just a glance, humans can make rich predictions about the future state of a wide range of physical systems. On the other hand, modern approaches from engineering, robotics, an…

cs.CV2016★ 242 cited

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

S. M. Ali Eslami, Nicolas Heess, Theophane Weber +4

We present a framework for efficient inference in structured image models that explicitly reason about objects. We achieve this by performing probabilistic inference using a recurr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.