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Bobak T. Kiani
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15
Slow Mixing of Quantum Gibbs Samplers
12 December 2024 by
David Gamarnik
and
others
Quantum Physics
,
Mathematical Physics
Strongly interacting fermions are non-trivial yet non-glassy
5 November 2024 by
Eric Anschuetz
and
others
at
Caltech
Quantum Physics
Hardness of Learning Neural Networks under the Manifold Hypothesis
3 June 2024 by
Bobak Kiani
and
others
Machine Learning
,
Differential Geometry
Product states optimize quantum
p
-spin models for large
p
5 April 2024 by
Eric Anschuetz
and
others
Quantum Physics
,
Mathematical Physics
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
14 February 2024 by
Grégoire Mialon
and
others
Machine Learning
,
Numerical Analysis
On the hardness of learning under symmetries
3 January 2024 by
Bobak Kiani
and
others
Machine Learning
,
Data Structures and Algorithms
Equivariant Polynomials for Graph Neural Networks
4 June 2023 by
Omri Puny
and
others
at
Weizmann Institute of Science
Machine Learning
,
Artificial Intelligence
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
1 June 2023 by
Vivien Cabannes
and
others
Machine Learning
,
Artificial Intelligence
Efficient classical algorithms for simulating symmetric quantum systems
31 January 2023 by
Eric Anschuetz
and
others
at
Freie Universität Berlin
Quantum Physics
Joint Embedding Self-Supervised Learning in the Kernel Regime
29 September 2022 by
Bobak Kiani
and
others
Machine Learning
,
Artificial Intelligence
Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps
28 September 2022 by
Eric Anschuetz
and
Bobak Kiani
Quantum Physics
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
6 September 2022 by
Grecia Castelazo
and
others
Quantum Physics
,
Data Structures and Algorithms
Quantum advantage for differential equation analysis
26 April 2022 by
Bobak Kiani
and
others
Quantum Physics
,
Data Structures and Algorithms
Quantum algorithm for dense and full-rank kernels using hierarchical matrices
25 April 2022 by
Quynh Nguyen
and
others
Quantum Physics
,
Numerical Analysis
Implicit Bias of Linear Equivariant Networks
15 February 2022 by
Hannah Lawrence
and
others
Machine Learning
,
Artificial Intelligence
Adversarial Robustness Guarantees for Random Deep Neural Networks
22 July 2021 by
Giacomo Palma
and
others
Machine Learning
,
Disordered Systems and Neural Networks
Hamiltonian singular value transformation and inverse block encoding
30 May 2021 by
Seth Lloyd
and
others
at
MIT
Quantum Physics
This is an AI-generated summary
Key points
Topics
Machine Learning
Quantum Physics
Mathematical Physics
Numerical Analysis
Artificial Intelligence
Data Structures and Algorithms
Statistics Theory
Differential Geometry
Probability
Disordered Systems and Neural Networks
