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Sidak Pal Singh
PhD student, Swiss Federal Institute of Technology Zurich
PhD student, Max Planck Institute for Intelligent Systems
Joined
November 2017
Names
Sidak Pal Singh
,
S.P. Singh
Emails
****@gmail.com
(Confirmed)
,
****@epfl.ch
(Confirmed)
,
****@inf.ethz.ch
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
PhD student
Swiss Federal Institute of Technology Zurich
(ethz.ch)
2020
–
Present
PhD student
Max Planck Institute for Intelligent Systems
(tuebingen.mpg.de)
2020
–
Present
Research Assistant
Institute of Science and Technology Austria
(ist.ac.at)
2019
–
2020
MS student
Swiss Federal Institute of Technology Lausanne
(epfl.ch)
2017
–
2020
Undergrad student
Indian Institute of Technology Roorkee
(iitr.ac.in)
2013
–
2017
Advisors, Relations & Conflicts
No relations added
Expertise
No areas of expertise listed
Publications
Cracking the Hessian: Closed-Form Hessian Spectra for Fundamental Neural Networks
Sidak Pal Singh
,
Weronika Ormaniec
,
Thomas Hofmann
Submitted to ICLR 2026
Readers:
Everyone
Model Fusion via Neuron Interpolation
Phoomraphee Luenam
,
Andreas Spanopoulos
,
Amit Sant
,
Thomas Hofmann
,
Sotiris Anagnostidis
,
Sidak Pal Singh
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Generalized Linear Mode Connectivity for Transformers
Alexander Theus
,
Alessandro Cabodi
,
Sotiris Anagnostidis
,
Antonio Orvieto
,
Sidak Pal Singh
,
Valentina Boeva
NeurIPS 2025 oral
Readers:
Everyone
Avoiding spurious sharpness minimization broadens applicability of SAM
Sidak Pal Singh
,
Hossein Mobahi
,
Atish Agarwala
,
Yann Dauphin
ICML 2025 poster
Readers:
Everyone
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
Weronika Ormaniec
,
Felix Dangel
,
Sidak Pal Singh
ICLR 2025 Spotlight
Readers:
Everyone
The Directionality of Optimization Trajectories in Neural Networks
Sidak Pal Singh
,
Bobby He
,
Thomas Hofmann
,
Bernhard Schölkopf
ICLR 2025 Poster
Readers:
Everyone
Hallmarks of Optimization Trajectories in Neural Networks and LLMs: Directional Exploration and Redundancy
Sidak Pal Singh
,
Bobby He
,
Thomas Hofmann
,
Bernhard Schölkopf
TF2M 2024 Poster
Readers:
Everyone
Closed form of the Hessian spectrum for some Neural Networks
Sidak Pal Singh
,
Thomas Hofmann
HiLD at ICML 2024 Poster
Readers:
Everyone
Landscaping Linear Mode Connectivity
Sidak Pal Singh
,
Linara Adilova
,
Michael Kamp
,
Asja Fischer
,
Bernhard Schölkopf
,
Thomas Hofmann
HiLD at ICML 2024 Poster
Readers:
Everyone
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks
Jim Zhao
,
Sidak Pal Singh
,
Aurelien Lucchi
NeurIPS 2024 poster
Readers:
Everyone
View all 28 publications
Co-Authors
Alessandro Cabodi
Alexander Theus
Amit Sant
Andreas Hug
Andreas Spanopoulos
Angela Fan
Antonio Orvieto
Asja Fischer
Atish Agarwala
Aurelien Lucchi
Aurélien Lucchi
Aymeric Dieuleveut
Benjamin F Grewe
Bernhard Schölkopf
Bobby He
Dan Alistarh
Dhaval Patel
Felix Dangel
Felix Sarnthein
Friedrich Wicke
Giulia Lanzillotta
Gregor Bachmann
Grigory Khromov
Hossein Mobahi
Jacopo Graldi
View all 44 co-authors