Daniel Persson

42 papers A* 2B 1Misc 3Journal 28Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Geometry of Polynomial Group Convolutional Neural Networks.
CoRR
Yacoub Hendi, Daniel Persson, Magdalena Larfors
2025 B conf
Bridging Spatial and Temporal Contexts: Sparse Transfer Learning.
IDA
Daniel Persson, William Wahlberg, Anna Vettoruzzo, Slawomir Nowaczyk
2025 J jnl
Equivariant Manifold Neural ODEs and Differential Invariants.
J. Mach. Learn. Res.
Emma Andersdotter, Daniel Persson, Fredrik Ohlsson
2025 J jnl
Equivariant non-linear maps for neural networks on homogeneous spaces.
CoRR
Elias Nyholm, Oscar Carlsson, Maurice Weiler, Daniel Persson
2025 J jnl
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks.
CoRR
Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan E. Gerken
2025 J jnl
PEAR: Equal Area Weather Forecasting on the Sphere.
CoRR
Hampus Linander, Christoffer Petersson, Daniel Persson, Jan E. Gerken
2024 A* conf
HEAL-SWIN: A Vision Transformer on the Sphere.
CVPR
Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
2023 J jnl
Geometric deep learning and equivariant neural networks.
Artif. Intell. Rev.
Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
2023 J jnl
HEAL-SWIN: A Vision Transformer On The Sphere.
CoRR
Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
2022 A* conf
Equivariance versus Augmentation for Spherical Images.
ICML
Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
2022 J jnl
Equivariance versus Augmentation for Spherical Images.
CoRR
Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
2021 J jnl
Geometric Deep Learning and Equivariant Neural Networks.
CoRR
Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
2019 J jnl
Optimal MIMO Precoding Under a Constraint on the Amplifier Power Consumption.
IEEE Trans. Commun.
Hei Victor Cheng, Daniel Persson, Erik G. Larsson
2015 Misc conf
GNSS spoofing detection using multiple mobile COTS receivers.
ICASSP
Erik Axell, Erik G. Larsson, Daniel Persson
2015 — conf
Massive MIMO at night: On the operation of massive MIMO in low traffic scenarios.
ICC
Hei Victor Cheng, Daniel Persson, Emil Björnson, Erik G. Larsson
2014 J jnl
Amplifier-Aware Multiple-Input Single-Output Capacity.
IEEE Trans. Commun.
Daniel Persson, Thomas Eriksson, Erik G. Larsson
2014 — conf
MIMO capacity under power amplifiers consumed power and per-antenna radiated power constraints.
SPAWC
Hei Victor Cheng, Daniel Persson, Erik G. Larsson
2014 J jnl
Massive MIMO with 1-bit ADC.
CoRR
Chiara Risi, Daniel Persson, Erik G. Larsson
2014 J jnl
On multiple-input-multiple-output performance for Terrestrial Trunked Radio systems.
IET Commun.
Peter D. Holm, Daniel Persson, Kia Wiklundh, Peter F. Stenumgaard
2013 J jnl
Amplifier-Aware Multiple-Input Multiple-Output Power Allocation.
IEEE Commun. Lett.
Daniel Persson, Thomas Eriksson, Erik G. Larsson
2013 J jnl
An early-warning service for emerging communication problems in security and safety applications.
IEEE Commun. Mag.
Peter F. Stenumgaard, Daniel Persson, Erik G. Larsson, Kia Wiklundh
2013 J jnl
Multiple symbols soft-decision metrics for coded frequency-shift keying signals.
Sci. China Inf. Sci.
Zheng Ma, Daniel Persson, Erik G. Larsson, Pingzhi Fan
2013 J jnl
Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays.
IEEE Signal Process. Mag.
Fredrik Rusek, Daniel Persson, Buon Kiong Lau, Erik G. Larsson, Thomas L. Marzetta, Ove Edfors, Fredrik Tufvesson
2012 J jnl
Approximating the LLR Distribution for a Class of Soft-Output MIMO Detectors.
IEEE Trans. Signal Process.
Mirsad Cirkic, Daniel Persson, Jan-Åke Larsson, Erik G. Larsson
2012 J jnl
Joint Source-Channel Coding for the MIMO Broadcast Channel.
IEEE Trans. Signal Process.
Daniel Persson, Johannes Kron, Mikael Skoglund, Erik G. Larsson
2012 J jnl
Joint Source-Channel Decoding Over MIMO Channels Based on Partial Marginalization.
IEEE Trans. Signal Process.
Daniel Persson, Erik G. Larsson, Mikael Skoglund
2012 J jnl
Scaling up MIMO: Opportunities and Challenges with Very Large Arrays
CoRR
Fredrik Rusek, Daniel Persson, Buon Kiong Lau, Erik G. Larsson, Thomas L. Marzetta, Ove Edfors, Fredrik Tufvesson
2011 J jnl
Allocation of Computational Resources for Soft MIMO Detection.
IEEE J. Sel. Top. Signal Process.
Mirsad Cirkic, Daniel Persson, Erik G. Larsson
2011 J jnl
Closed-Form Sum-MSE Minimization for the Two-User Gaussian MIMO Broadcast Channel.
IEEE Commun. Lett.
Johannes Kron, Daniel Persson, Mikael Skoglund, Erik G. Larsson
2011 Misc conf
Gaussian approximation of the LLR distribution for the ML and partial marginalization MIMO detectors.
ICASSP
Mirsad Cirkic, Daniel Persson, Erik G. Larsson, Jan-Åke Larsson
2011 Misc conf
New results on adaptive computational resource allocation in soft MIMO detection.
ICASSP
Mirsad Cirkic, Daniel Persson, Erik G. Larsson
2011 J jnl
Partial Marginalization Soft MIMO Detection With Higher Order Constellations.
IEEE Trans. Signal Process.
Daniel Persson, Erik G. Larsson
2010 J jnl
On Multiple Description Coding of Sources with Memory.
IEEE Trans. Commun.
Daniel Persson, Thomas Eriksson
2010 J jnl
Power series quantization for noisy channels.
IEEE Trans. Commun.
Daniel Persson, Thomas Eriksson
2009 J jnl
Mixture Model- and Least Squares-Based Packet Video Error Concealment.
IEEE Trans. Image Process.
Daniel Persson, Thomas Eriksson
2009 — —
Speech and Video Coding for Unreliable Channels.
Daniel Persson
2008 J jnl
Packet Video Error Concealment With Gaussian Mixture Models.
IEEE Trans. Image Process.
Daniel Persson, Thomas Eriksson, Per Hedelin
2008 — conf
Sharing Moral Responsibility with Robots: A Pragmatic Approach.
SCAI
Gordana Dodig-Crnkovic, Daniel Persson
2007 — conf
A Minimum Mean Square Error Estimation and Mixture-Based Approach to Packet Video Error Concealment.
ICASSP (1)
Daniel Persson, Thomas Eriksson
2007 — conf
Spatio-Temporal Markov Random Field-Based Packet Video Error Concealment.
ICIP (4)
Daniel Persson, Thomas Eriksson
2006 — conf
Qualitative Analysis of Video Packet Loss Concealment with Gaussian Mixtures.
ICASSP (2)
Daniel Persson, Thomas Eriksson, Per Hedelin
2005 — conf
A Statistical Approach to Packet Loss Concealment for Video.
ICASSP (2)
Daniel Persson, Per Hedelin